08Nov

Applications Development Engineer 2 at IQVIA – Bangalore, India


IQVIA is seeking ETL Developer with 5-6 years of experience on data warehousing and Business intelligence projects. He must have good analytical skills and should be able to present solutions. An efficient developer and good team player. Should be able to perform assigned task efficiently with good quality and help other follow the same.
Roles and Responsibilities:
Work together with a team of highly motivated individuals with great passion in the healthcare space. Responsibilities will be as listed below but not limited to:
•    Understand the requirements for data management or dashboard development
•    Learn new tools and technologies and implement with the existing data warehouse knowledge
•    Review and provide solutions 
•    Analyze the data and summarize the understanding and issues with the data
•    Understand and implement data quality and verification requirements
•    Take lead on the tasks and provide recommendations for solving business problems
•    Automation of ETL/Data management processes
•    Ontime and quality delivery including unit testing
•    Participates in requirement gathering , determine data storage requirements, ETL process etc.
•    Build a data warehouse for utilizing various data warehousing ideas.
•    Create and improve data solutions that enable smooth data delivery and is in charge of gathering, processing, maintaining, and analyzing enormous amounts of data.
•    Lead the logical data model design and implementation and the construction and implementation of operational data stores and data marts.
•    Design, automate, and support sophisticated data extraction, transformation, and loading applications.
•    Ensure the accuracy of data – Perform unit tests, Root cause analysis and Performance optimizations
•    For ETL applications, creates logical and physical data flow models.
•    Data access, transformation, and mobility needs are translated into functional requirements and mapping designs.
•    Refine and automate regular processes, track issues, and document changes.
•    Assist developers with query tuning and schema refinement.
•    Provide support for critical production systems as required.
•    Maintaining code versioning and support code deployments.
•    Perform scheduled maintenance and support deployment activities as required.
•    Communicate status report to management

Skills needed:
Required:
•    SQL competence (query performance tuning, index management, etc.) and a grasp of database structure are required.
•    Snowflake
•    Hands on – Any ETL tool with completed understanding of Setup, Configuration, Development, Testing, Scheduling
•    Ability to perform root cause analysis and implement permanent fix
•    Support team to understand the requirement and propose best solutions.
•    Understanding of data modeling concepts.
•    Knowledge of at least one ETL tool (Informatica, SSIS, Talend, etc.
•    Knowledge of different SQL/NoSQL data storage techniques and Big Data technologies
•    Passionate about sophisticated data structures and problem solutions.
•    Quickly learn new data tools and ideas
•    Develop and maintain documentation to our standards / provide feedback on standards where they can be improved.
•    End to End process automation
•    Agile development methodologies
•    Excellent communication and articulation skills

Good to Have:
•    OA – IDP Development and complete understanding
•    AWS/ Cloud
•    Python, PySpark
•    Jira Process Understanding
•    Healthcare industry experience

Qualifications
• Bachelor’s Degree Computer Science, a related field, or equivalent experience
 Req

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com



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08Nov

IT Operations Engineer at Harvey – San Francisco


Why Harvey

Harvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:

  • Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O’Melveny & Myers, PwC, KKR, and many others.

  • Strategic investors: Raised over $200 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and the OpenAI Startup Fund.

  • World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.

  • Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.

  • Performance: $0-30M ARR in the last 18 months.

  • Compensation: Top of market cash and equity compensation.

About You

You’re a people-first IT operations and support professional who takes pride in their work. You actively listen and love to learn new skills. You’re empathetic, security and process-minded, kind, results-driven and energized about creating the best employee experience possible through IT.

Role Overview

This is an onsite, cross-functional position requiring five days a week in our San Francisco office.

As an IT Operations Engineer, you’ll be part of the Security & IT teams. You will be Harvey’s IT operations and support subject matter expert. You’ll be responsible for day-to-day administration, operations, support, troubleshooting and lifecycle management of Harvey’s end-user tech stack. This includes, and is not limited to, supporting Harvey’s AV infrastructure, macOS endpoints, Google Workspace, Rippling, 1Password, Slack, Notion and Zoom.

ResponsibilitiesQualifications

  • Bachelor’s preferred

  • 5+ years of experience troubleshooting, supporting and administering end-user endpoints at fast growth startups

  • 3+ years of experience supporting Google Workspace, Okta, Azure AD, LDAP, etc. at fast-growth startups

  • 3+ years support Microsoft environments at fast-growth startups

  • 3+ years managing AV at fast-growth startups

Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.



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08Nov

Sr. Specialist, Decision Analytics at Colgate-Palmolive – Mumbai, MH, IN


Relocation Assistance Offered Within Country
Job Number #163708 – Mumbai, Maharashtra, India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let’s build a brighter, healthier future for all.
 

About Colgate-Palmolive

Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions!

If this is how you see your career, Colgate is the place to be! 

 

Our diligent household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. 

If you want to work for a company that lives by their values, then give your career a reason to smile…every single day.

 

The Experience 

In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the CBS Analytics  team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this ever-changing landscape.

What role will you play as a member of Colgate’s Analytics team? 

 

The CBS Analytics  vertical in Colgate Palmolive is focused on working on cases which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions

 

The Data Scientist position would lead CBS Analytics  projects within the Analytics Continuum. Conceptualizes and builds predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value

 

The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc. Data Scientist needs to maintain relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting

 

Who are you…

You are a function expert – 

  • Leads Analytics  projects within the Analytics Continuum

  • Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases

  • Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business

  • Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

 

You connect the dots –

  • Drive insights from internal and external data for business 

  • Assemble large, sophisticated data sets that meet functional / non-functional business requirements

  • Build data and visualization tools for Business analytics to assist them in decision making

 

You are a collaborator – 

 

You are an innovator – 

  • Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

What you’ll need

  • Graduation/Masters in Statistics/ Applied Mathematics/ Computer Science

  • 1+ years of experience in building data models and driving insights 

  • Hands-on/experience on developing statistical models, such as regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering etc.

  • Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR

  • Knowledge of using GitHub, Airflow for coding and model executions

  • Leading, transforming, developing statistical models for RGM/Pricing and/or Marketing Effectiveness and communicating insights decks to business

  • Working knowledge on tools like Tableau, Domo, Power BI and web apps framework using plotly, pydash, sql

  • Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

What you’ll need…(Preferred)

  • Experience with third-party data i.e., syndicated market data, Point of Sales, etc. 

  • Working knowledge of consumer packaged goods industry 

  • Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Experience visualizing/presenting data for partners using: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc 

  • Willingness and ability to experiment with new tools and techniques 

  • Good facilitation and project management skills 

  • Ability to maintain personal composure and thoughtfully handle difficult situations. 

  • Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc)


Compensation and Benefits
Salary Range $ – $ USD

Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.

Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee’s hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.

Our Commitment to Diversity, Equity & Inclusion
Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way.

Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

For additional Colgate terms and conditions, please click here.

#LI-Hybrid



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07Nov

Senior System Software Engineer – Autonomous Vehicles at NVIDIA – US, CA, Santa Clara


NVIDIA’s Solution Engineering team is looking for a Senior System Software Engineer with expertise in Computer Architecture, embedded systems and sensing platforms. We work with the most exciting computing hardware and software, driving the latest breakthroughs in systems design, compute platforms and artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about general compute platforms, someone who can maintain constructive teamwork in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest Autonomous vehicle architecture coupled with the most advanced sensing devices, changing the way people interact with technology.

As a Senior Systems Software Engineer, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key customer interfaces, working on production platforms and to evangelize accelerated computing. Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you a software engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for our group.

What you’ll be doing:

  • Work closely with software engineers, hardware and arch teams to implement and optimize features for the mobile system-on-chip (SOC) devices.

  • Engage directly with customers and support teams to design, develop and improve their world-class products.

  • Triage, debug and implement fixes for various software issues in the AV Software stack.

  • Develop features to see them through the full software development lifecycle, from conceptualization to productization.

  • Communicate effectively with various teams throughout the company, as well as customers and partners.

What we need to see:

  • Master’s Degree in Computer Science, Computer Engineering or equivalent experience

  • Minimum 5+ years of relevant experience.

  • Your excellent C, C++ and python programming skills. Your expertise in coding is crucial to your success in this role.

  • Knowledge of computer system architecture and low-level interfaces such as buses, controllers and interrupts.

  • Deep understanding of operating system concepts, specifically memory/resource management, scheduling, process management and synchronization and power management.

  • Your working experience with sensing devices such as Camera Imagers, Radars and Lidars.

  • Programming experience for applications and middleware in Linux, Android, or Real-time operating systems environments.

  • Excellent communication and planning skills.

Ways to stand out from the crowd:

  • Experience with CUDA programming.

  • Working knowledge of ARM platforms.

  • Possess familiarity with Deep Learning frameworks.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative and autonomous, we want to hear from you!

The base salary range is 148,000 USD – 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.



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07Nov

Design Control and Risk Management – Data Management at MSD – USA – New Jersey – Rahway


Job Description

Job Description

As a Design Control and Risk Management Data Manager, you are a key member of the Device Development Team. Your will main responsibility is to develop and manage the data relationships through the development and life cycle of a product.

Key responsibilities include the following:

  • Partner with the Design Control and Risk Management leads to determine the data relationships and mapping.
  • Lead data review meetings with content owners and Quality.
  • Create and manage data linkages and relationships.
  • Manage open deliverables and tasks.
  • Manage the Global Design File from concept, launch and post market.
  • Support second person review with source data for regulatory filing.
  • Support Design Transfer and Manufacturing readiness.
  • Manage data management approval workflows.
  • Support impact assessments for design changes during development and post market.
  • Utilize library data to drive cross project consistency.
  • Become the IT system SME and trainer.
  • Drive continuous process improvements.

Basic Qualifications:

Minimum education required:

  • Bachelor’s degree in a Science, Technology, Engineering, or Math (STEM) field
  • 0-2 years in the medical device or pharmaceutical industry.

Required experience and skills:

  • Demonstrated ability work multi-functional teams, work effectively across boundaries, and to effectively influence without authority
  • Strong collaboration skills and ability to work productively in an interdisciplinary environment.
  • Integrated technical knowledge for IT system.
  • Excellent written and verbal communication skills, able to effectively interact at all levels of the organization – business leaders, senior technical/scientific personnel, internal/external customers/suppliers/teammates
  • Strong project management skills.

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement​

Pay Transparency Nondiscrimination

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday – Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected US salary range:

$62,000.00 – $97,600.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

11/13/2024

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.



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07Nov

Software Engineer, Rider at Lyft – New York, NY


At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you’ll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.

The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As a Software Engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders’ experience with rideshare.

Responsibilities:

  • Write well-crafted, well-tested, readable, maintainable code
  • Lead projects from idea to positive execution
  • Participate in code reviews to ensure code quality and distribute knowledge 
  • Participate in our teams oncall rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms
  • Have the ability to explain the various trade offs made in decisions
  • Manage project priorities, deadlines, and deliverables.

Experience:

  • BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience
  • Experience and understanding software development of large-scale distributed systems
  • Experience with common CI tools
  • Experience with Python, Go.
  • Proficiency in object-oriented programming
  • Experience working with data structures or algorithms 
  • Ability to work with a low-ego, highly collaborative, and cross-functional team
  • Bonus points: experience pursuing side projects or open-source projects

Benefits:

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • Family building benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink – Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program


Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.  

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

The expected range of pay for this position in New York is $104,000 – $134,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.



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06Nov

Senior Data Engineer at PayPal – IND – Tamil Nadu – Chennai – Corp – Old Mahabalipuram Rd


The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary:

What you need to know about the role-
At PayPal, we are seeking a talented Data Engineer to join our ARP Engineering Team within the Data Org. The candidate will be responsible for the analysis, design, coding, and testing of data applications and ETL processes. This role involves collaborating with global cross-functional teams to address complex business requirements, developing and maintaining scalable data pipelines, and ensuring data integrity and quality through rigorous testing and validation. The ideal candidate is self-motivated, possesses strong problem-solving skills, and has a passion for data and analytics. Additionally, the candidate should be able to manage multiple projects simultaneously with a high degree of efficiency. This position requires proven experience in data engineering, ETL processes, and data analytics, along with strong technical skills in relevant programming languages and tools. The ability to work effectively with cross-functional teams across different time zones is essential. If you are passionate about data and analytics and thrive in a fast-paced environment, we would love to hear from you. Join us and be a part of a dynamic and innovative team at PayPal, where you can work on challenging projects, collaborate with global teams, and enjoy a supportive and inclusive work environment.

Meet our team

ARP is part of DAIS – Data Foundational Services, a centralized platform system that provides all financial KPIs, accounting and regulatory data needs, reporting and reconciliation platforms, ledger maintenance, and data analytics for different groups within PayPal, including the Senior Leadership Team (SLT).

Job Description:

Your way to impact  

 

 

Your day to day  

In this role, the individual will be part of the Data engineering team and will be responsible for. 

 

 

 

What do you need to bring-  

  • Knowledge in any programming language like Java, Python, Scala, and Spark 

  • Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions. 

 

Desired Skills: 

Knowledge on Big data Environments and Cloud integration 

Exposure to Data Quality and Profiling tools is a plus. 

Exposure to BI tools desired, but not required (Tableau, Micro strategy, Business Objects) 

Programming language is added advantage 

 

 

 

Additional Job Description:

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:

Click Here to learn more about our culture and community.

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at 

pa***************************@pa****.com











.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Subsidiary:

PayPal

Travel Percent:

0

For the majority of employees, PayPal’s balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion 

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at 

ta******************@pa****.com











.  

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

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06Nov

An Introduction to VLMs: The Future of Computer Vision Models | by Ro Isachenko | Nov, 2024


Building a 28% more accurate multimodal image search engine with VLMs.

Until recently, AI models were narrow in scope and limited to understanding either language or specific images, but rarely both.

In this respect, general language models like GPTs were a HUGE leap since we went from specialized models to general yet much more powerful models.

But even as language models progressed, they remained separate from computer vision аreas, each domain advancing in silos without bridging the gap. Imagine what would happen if you could only listen but not see, or vice versa.

My name is Roman Isachenko, and I’m part of the Computer Vision team at Yandex.

In this article, I’ll discuss visual language models (VLMs), which I believe are the future of compound AI systems.

I’ll explain the basics and training process for developing a multimodal neural network for image search and explore the design principles, challenges, and architecture that make it all possible.

Towards the end, I’ll also show you how we used an AI-powered search product to handle images and text and what changed with the introduction of a VLM.

Let’s begin!

What Are VLMs?

LLMs with billions or even hundreds of billions of parameters are no longer a novelty.

We see them everywhere!

The next key focus in LLM research has been more inclined towards developing multimodal models (omni-models) — models that can understand and process multiple data types.

Multimodal models (Image by Author)

As the name suggests, these models can handle more than just text. They can also analyze images, video, and audio.

But why are we doing this?

Jack of all trades, master of none, oftentimes better than master of one.

In recent years, we’ve seen a trend where general approaches dominate narrow ones.

Think about it.

Today’s language-driven ML models have become relatively advanced and general-purpose. One model can translate, summarize, identify speech tags, and much more.

General NLP model (Image by Author)

But earlier, these models used to be task-specific (we have them now as well, but fewer than before).

  • A dedicated model for translating.
  • A dedicated model for summarizing, etc.

In other words, today’s NLP models (LLMs, specifically) can serve multiple purposes that previously required developing highly specific solutions.

Second, this approach allows us to exponentially scale the data available for model training, which is crucial given the finite amount of text data. Earlier, however, one would need task-specific data:

  • A dedicated translation labeled dataset.
  • A dedicated summarization dataset, etc.

Third, we believe that training a multimodal model can enhance the performance of each data type, just like it does for humans.

For this article, we’ll simplify the “black box” concept to a scenario where the model receives an image and some text (which we call the “instruct”) as input and outputs only text (the response).

As a result, we end up with a much simpler process as shown below:

A simplified multimodal model (Image by Author)

We’ll discuss image-discriminative models that analyze and interpret what an image depicts.

Before delving into the technical details, consider the problems these models can solve.

A few examples are shown below:

Examples of tasks (Image by Author)
  • Top left image: We ask the model to describe the image. This is specified with text.
  • Top mid image: We ask the model to interpret the image.
  • Top right image: We ask the model to interpret the image and tell us what would happen if we followed the sign.
  • Bottom image: This is the most complicated example. We give the model some math problems. From these examples, you can see that the range of tasks is vast and diverse.

VLMs are a new frontier in computer vision that can solve various fundamental CV-related tasks (classification, detection, description) in zero-shot and one-shot modes.

While VLMs may not excel in every standard task yet, they are advancing quickly.

Now, let’s understand how they work.

VLM Architecture

These models typically have three main components:

Simplified representation of VLM (Image by Author)
  1. LLM — a text model (YandexGPT, in our case) that doesn’t understand images.
  2. Image encoder — an image model (CNN or Vision Transformer) that doesn’t understand text.
  3. Adapter — a model that acts as a mediator to ensure that the LLM and image encoder get along well.

The pipeline is pretty straightforward:

  • Feed an image into the image encoder.
  • Transform the output of the image encoder into some representation using the adapter.
  • Integrate the adapter’s output into the LLM (more on that below).
  • While the image is processed, convert the text instruct into a sequence of tokens and feed them into the LLM.

More Information About Adapters

The adapter is the most exciting and important part of the model, as it precisely facilitates the communication/interaction between the LLM and the image encoder.

There are two types of adapters:

  • Prompt-based adapters
  • Cross-attention-based adapters

Prompt-based adapters were first proposed in BLIP-2 and LLaVa models.

The idea is simple and intuitive, as evident from the name itself.

We take the output of the image encoder (a vector, a sequence of vectors, or a tensor — depending on the architecture) and transform it into a sequence of vectors (tokens), which we feed into the LLM. You could take a simple MLP model with a couple of layers and use it as an adapter, and the results will likely be pretty good.

Cross-attention-based adapters are a bit more sophisticated in this respect.

They were used in recent papers on Llama 3.2 and NVLM.

These adapters aim to transform the image encoder’s output to be used in the LLM’s cross-attention block as key/value matrices. Examples of such adapters include transformer architectures like perceiver resampler or Q‑former.

Prompt-based adapters (left) and Cross-attention-based adapters (right) (Image by Author)

Prompt-based adapters (left) and Cross-attention-based adapters (right)

Both approaches have pros and cons.

Currently, prompt-based adapters deliver better results but take away a large chunk of the LLM’s input context, which is important since LLMs have limited context length (for now).

Cross-attention-based adapters don’t take away from the LLM’s context but require a large number of parameters to achieve good quality.

VLM Training

With the architecture sorted out, let’s dive into training.

Firstly, note that VLMs aren’t trained from scratch (although we think it’s only a matter of time) but are built on pre-trained LLMs and image encoders.

Using these pre-trained models, we fine-tune our VLM in multimodal text and image data.

This process involves two steps:

  • Pre-training
  • Alignment: SFT + RL (optional)

Training procedure of VLMs (Image by Author)

Notice how these stages resemble LLM training?

This is because the two processes are similar in concept. Let’s take a brief look at these stages.

VLM Pre-training

Here’s what we want to achieve at this stage:

  • Link the text and image modalities together (remember that our model includes an adapter we haven’t trained before).
  • Load world knowledge into our model (the images have a lot of specifics, for one, OCR skills).

There are three types of data used in pre-training VLMs:

  • Interleaved Pre-training: This mirrors the LLM pre-training phase, where we teach the model to perform the next token prediction task by feeding it web documents. With VLM pre-training, we pick web documents with images and train the model to predict text. The key difference here is that a VLM considers both the text and the images on the page. Such data is easy to come by, so this type of pre-training isn’t hard to scale up. However, the data quality isn’t great, and boosting it proves to be a tough job.
Interleaved Pre-training dataset (Image by Author)

Image-Text Pairs Pre-training: We train the model to perform one specific task: captioning images. You need a large corpus of images with relevant descriptions to do that. This approach is more popular because many such corpora are used to train other models (text-to-image generation, image-to-text retrieval).

Image-Text Pairs Pre-training dataset (Image by Author)

Instruct-Based Pre-training: During inference, we’ll feed the model images and text. Why not train the model this way from the start? This is precisely what instruct-based pre-training does: It trains the model on a massive dataset of image-instruct-answer triplets, even if the data isn’t always perfect.

Instruct-Based Pre-training dataset (Image by Author)

How much data is needed to train a VLM model properly is a complex question. At this stage, the required dataset size can vary from a few million to several billion (thankfully, not a trillion!) samples.

Our team used instruct-based pre-training with a few million samples. However, we believe interleaved pre-training has great potential, and we’re actively working in that direction.

VLM Alignment

Once pre-training is complete, it’s time to start on alignment.

It comprises SFT training and an optional RL stage. Since we only have the SFT stage, I’ll focus on that.

Still, recent papers (like this and this) often include an RL stage on top of VLM, which uses the same methods as for LLMs (DPO and various modifications differing by the first letter in the method name).

Anyway, back to SFT.

Strictly speaking, this stage is similar to instruct-based pre-training.

The distinction lies in our focus on high-quality data with proper response structure, formatting, and strong reasoning capabilities.

This means that the model must be able to understand the image and make inferences about it. Ideally, it should respond equally well to text instructs without images, so we’ll also add high-quality text-only data to the mix.

Ultimately, this stage’s data typically ranges between hundreds of thousands to a few million examples. In our case, the number is somewhere in the six digits.

Quality Evaluation

Let’s discuss the methods for evaluating the quality of VLMs. We use two approaches:

  • Calculate metrics on open-source benchmarks.
  • Compare the models using side-by-side (SBS) evaluations, where an assessor compares two model responses and chooses the better one.

The first method allows us to measure surrogate metrics (like accuracy in classification tasks) on specific subsets of data.

However, since most benchmarks are in English, they can’t be used to compare models trained in other languages, like German, French, Russian, etc.

While translation can be used, the errors introduced by translation models make the results unreliable.

The second approach allows for a more in-depth analysis of the model but requires meticulous (and expensive) manual data annotation.

Our model is bilingual and can respond in both English and Russian. Thus, we can use English open-source benchmarks and run side-by-side comparisons.

We trust this method and invest a lot in it. Here’s what we ask our assessors to evaluate:

  • Grammar
  • Readability
  • Comprehensiveness
  • Relevance to the instruct
  • Errors (logical and factual)
  • Hallucinations

We strive to evaluate a complete and diverse subset of our model’s skills.

The following pie chart illustrates the distribution of tasks in our SbS evaluation bucket.

Distribution of tasks for quality evaluation (Image by Author)

This summarizes the overview of VLM fundamentals and how one can train a model and evaluate its quality.

Pipeline Architecture

This spring, we added multimodality to Neuro, an AI-powered search product, allowing users to ask questions using text and images.

Until recently, its underlying technology wasn’t truly multimodal.

Here’s what this pipeline looked like before.

Pipeline architecture (Image by Author)

This diagram seems complex, but it’s straightforward once you break it down into steps.

Here’s what the process used to look like

  1. The user submits an image and a text query.
  2. We send the image to our visual search еngine, which would return a wealth of information about the image (tags, recognized text, information card).
  3. We formulate a text query using a rephraser (a fine-tuned LLM) with this information and the original query.
  4. With the rephrased text query, we use Yandex Search to retrieve relevant documents (or excerpts, which we call infocontext).
  5. Finally, with all this information (original query, visual search information, rephrased text query, and info context), we generate the final response using a generator model (another fine-tuned LLM).

Done!

As you can see, we used to rely on two unimodal LLMs and our visual search engine. This solution worked well on a small sample of queries but had limitations.

Below is an example (albeit slightly exaggerated) of how things could go wrong.

The problem with two unimodal LLMs (Image by Author)

Here, the rephraser receives the output of the visual search service and simply doesn’t understand the user’s original intent.

In turn, the LLM model, which knows nothing about the image, generates an incorrect search query, getting tags about the pug and the apple simultaneously.

To improve the quality of our multimodal response and allow users to ask more complex questions, we introduced a VLM into our architecture.

More specifically, we made two major modifications:

  1. We replaced the LLM rephraser with a VLM rephraser. Essentially, we started feeding the original image to the rephraser’s input on top of the text from the visual search engine.
  2. We added a separate VLM captioner to the pipeline. This model provides an image description, which we use as info context for the final generator.

You might wonder

Why not make the generator itself VLM-based?

That’s a good idea!

But there’s a catch.

Our generator training inherits from Neuro’s text model, which is frequently updated.

To update the pipeline faster and more conveniently, it was much easier for us to introduce a separate VLM block.

Plus, this setup works just as well, which is shown below:

Using VLM in AI-powered search (Image by Author)

Training VLM rephraser and VLM captioner are two separate tasks.

For this, we use mentioned earlierse VLM, as mentioned e for thise-tuned it for these specific tasks.

Fine-tuning these models required collecting separate training datasets comprising tens of thousands of samples.

We also had to make significant changes to our infrastructure to make the pipeline computationally efficient.

Gauging the Quality

Now for the grand question:

Did introducing a VLM to a fairly complex pipeline improve things?

In short, yes, it did!

We ran side-by-side tests to measure the new pipeline’s performance and compared our previous LLM framework with the new VLM one.

This evaluation is similar to the one discussed earlier for the core technology. However, in this case, we use a different set of images and queries more aligned with what users might ask.

Below is the approximate distribution of clusters in this bucket.

Cluster distribution (Image by Author)

Our offline side-by-side evaluation shows that we’ve substantially improved the quality of the final response.

The VLM pipeline noticeably increases the response quality and covers more user scenarios.

Accuracy of VLM vs LLM in Neuro (Image by Author)

We also wanted to test the results on a live audience to see if our users would notice the technical changes that we believe would improve the product experience.

So, we conducted an online split test, comparing our LLM pipeline to the new VLM pipeline. The preliminary results show the following change:

  • The number of instructs that include an image increased by 17%.
  • The number of sessions (the user entering multiple queries in a row) saw an uptick of 4.5%.

To reiterate what was said above, we firmly believe that VLMs are the future of computer vision models.

VLMs are already capable of solving many out-of-the-box problems. With a bit of fine-tuning, they can absolutely deliver state-of-the-art quality.

Thanks for reading!



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06Nov

Database Engineer at Synechron – Serbia – Novi Sad


At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions.

Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.

Through research and development initiatives in our FinLabs, we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications, and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams.

With top clients to boast about, Synechron has a global workforce of 14,000+ and has 55 offices in 20 countries within key global markets.

For more information on the company, please visit our website: www.synechron.com.

We are hiring a Database Engineer

Hybrid working model – Novi Sad or Belgrade office
 

We are hiring a Database Engineer to embark on a transformative journey with Synechron Serbia. Your role will be integral in optimizing data flow and storage for high-throughput, real-time processing, and automation within an event-driven system, to enhance performance and scalability.
 

Responsibilities:

  • Work on a long-term project for a leading American investment bank, focusing on enhancing a cutting-edge platform
  • Maintain and develop new features for MSSQL databases that manage extensive data from diversified sources, ensuring high availability and reliability
  • Utilize expertise in database engineering to optimize data structures, queries, and transactional operations for maximum efficiency and reliability
  • Proven experience in writing high-performance stored procedures in Microsoft SQL Server
  • Proficiency in T-SQL, including but not limited to creating stored procedures, functions, triggers, and views
  • Proficiency in an object-oriented programming language is highly desirable to support database functionality and contribute to broader project needs
  • Apply your experience in the financial domain, especially in areas such as investment banking, fixed income and equities, to enhance data models and system logic that drive critical trading decisions
  • Undertake thorough analysis and execution of performance enhancements for current systems to boost efficiency and scalability
  • Manage a complete testing cycle, ensuring rigorous validation from conceptual designs to live production stages
  • Engage in dynamic collaboration with our agile scrum team in Serbia and draw on insights from our accomplished client team
     

You are a great candidate for us if:

  • You have experience in working on data management and data focussed projects – SQL and T-SQL expertise required, ideally with large volume databases   
  • You have an in-depth understanding of data serialization, RDBMS, and ideally some NoSQL 
  • You can recognize issues and resolve or escalate them appropriately  
  • You think continuous improvement is important 
  • You are fluent in English 
     

Plus is if:

  • You are familiar with any of the programming languages: Java, C# or Python 
  • You are familiar with AWS
  • You are familiar with financial services with an understanding of financial and related market data 
     

What’s in it for you: 

  • Global mobility program: Experience our international culture and way of doing things
  • Opportunity to move into new projects, roles, and between departments          
  • Specialized training, accredited certification, and unlimited Udemy courses
  • Opportunity to grow your career through our customized leadership program                 
  • Private medical insurance
  • FitPass membership
  • Attractive salary package and the chance to earn performance-based bonuses  
  • Comprehensive Referral Rewards Program

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice



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06Nov

Quality Assurance Thermal Spray Technician at Oerlikon – Westbury, NY, US, 11590


 

Quality Assurance Thermal Spray Technician 
 

 

We are looking for a Thermal Spray Technician for our Westbury NY facility. In this role you will, operate under the jurisdiction of the Quality Assurance team to ensure the performative quality of manufactured powder products. The person in this role conducts thermal spray testing in accordance with internal specifications. Quality spray testing is conducted on powders produced in Materials Production and Engineering departments that are required for product release. Spray testing support is also required for analyzing customer complaints and other quality related checks. 

 

We offer:

 

Aside from a dynamic global culture and leading market position, we are proud to offer our employees development opportunities, competitive salary and a robust benefit program ALL available on first day of employment!

 

The perks and benefits of working at Oerlikon include the following:

 

  • Comprehensive medical and prescription drug plan with low premiums, company sponsored HSA contributions and without cumbersome waiting periods to keep you going strong.  
  • Excellent Dental and Vision coverage.
  • Employee Assistance, Financial and Wellness programs to help improve all aspects of your life journey. 
  • 401(k) retirement savings plan with significant company match and financial planning and education options to help you achieve your retirement goals 
  • Tuition reimbursement and internal education resources to satisfy your love of learning so you can continue to grow with us!
  • Generous paid time off to support your physical and mental wellbeing.
  • 12 paid company holidays to occasionally extend your weekends or time off. 
  • Flexible hours or remote work environment available for certain positions
  • 100% company paid life insurance and disability insurance
  • Employee Referral Bonus program because why not to bring your friends to work everyday!

 

Your Responsibilities:

 

  • Operate thermal spray equipment related to Air Plasma Spray (APS), High Velocity Oxy Fuel (HVOF), and Flame Spray processes.
  • Conduct hands-on work including running thermal spray control systems, maintaining thermal spray equipment, rebuilding thermal spray guns, setting up testing fixtures, setting up robotics programs, sandblasting, and handling of thermal spray powders.
  • May also be assigned work in the Metallography lab where necessary (Rockwell hardness testing, metallographic preparation, optical/SEM microscopy, and more).
  • Must maintain all safety, productivity, and quality requirements.

 

     Safety

  • Responsible for ensuring the proper and safe use of equipment within the laboratory at all times. This includes wearing a respirator, safety glasses, and hearing protection where required.
  • Must be able to safely handle gas cylinders.
  • Must be able to identify and take corrective steps to prevent an unsafe working environment within the laboratory.

Productivity

  • Manage workflow through the laboratory. 
  • Must communicate well with colleagues to plan for best workflow and ensure that time commitments are met.
  • Ensure equipment is kept in good order to minimize down-time.

Quality

  • Must keep accurate documentation in accordance with internal procedures.
  • Must conduct spray tests in accordance with internal specifications
  • Must be able to follow written and verbal instructions

 

Your Profile:

  • High school diploma or equivalent required.
  • Bachelor of Engineering (B.E.) or Bachelor of Science (B.S.) in related discipline preferred.
  • Knowledge of thermal spray process is a preferred.
  • Prior laboratory experience is preferred.
  • Experience in a manufacturing, welding, machining, or related environment preferred.
  • Capable of using machine shop equipment and hand tools.
  • Must be able to follow a variety of work instructions
  • Must be very detail-oriented and have good observational and problem-solving skills
  • Must have good organizational skills
  • Must have good communication skills.
  • Understanding of standard laboratory safety procedures in the handling of dangerous chemicals and materials.
  • Working proficiency with Microsoft Office computer software (Excel, Word, Outlook).
  • Familiarity with SAP systems preferred
  • ABB and / or Fanuc Robotics experience preferred

 

Why Oerlikon:

Every one of us has the chance to be more curious; to bring a new innovations and ideas in our work and to our customers in the automotive, aerospace, energy, tooling, polymer processing and additive manufacturing sectors, and in doing this, we can reaffirm our customers’ and strategic partners’ trust.

#joinoerlikonus #joinourteam

 

Are you curious? Then release your passion to succeed and APPLY to discover how you can help us build a better world and realize how you can make a personal difference by joining our global team! Our commitment is your success!

 

Oerlikon is required by law to include a reasonable estimate of the current compensation range for this position, which is $55,000 to $68,000 per year. Some positions within Oerlikon may also offer eligibility to participate in a discretionary incentive program. The salary of the finalist(s) selected for the role will be based on a variety of factors that are considered in making compensation decisions including, but not limited to, internal equity, job location, work experience, education, training, certifications, licenses, etc. Therefore, as compensation decisions are dependent on the facts and circumstances of each individual, it is likely that not all applicants will be hired at the highest end of the listed compensation range. Our total compensation package goes beyond base compensation, and it will include a competitive benefits package starting with 2 weeks paid time off accrued on a monthly basis, 12 holidays, 48 hours personal/sick time (exception for NY where we follow State law,) medical, dental, vision, 401K, holidays, pet insurance and tuition reimbursement all effective day one of hire.

About us
 
Oerlikon is a global innovation powerhouse for surface engineering, polymer processing and additive manufacturing in key industries such as aerospace, automotive, energy, tooling and textiles. We serve as a key partner in enabling our customers to reach their targets for optimizing the performance, function and sustainability of their products and manufacturing processes. 
Our solutions reduce emissions in transportation, maximize longevity and performance of tools, increase energy efficiency and advance intelligent material and sustainable polymer processing. These achievements are proven hallmarks of our global leadership. 
 
We at Oerlikon embrace diversity. This is reflected in more than 11,800 employees, representing over 93 nationalities and our presence in more than 38 countries and 207 locations worldwide. 
 
Oerlikon is an Equal Opportunity Employer striving to promote a diverse and inclusive workforce, and is dedicated to unbiased recruiting, hiring and employment practices. Oerlikon takes affirmative action to ensure candidates are considered without regard to their race, color, national origin, ancestry, religion, creed, age, sex, pregnancy, sexual orientation, gender identity, genetic information, marital status, parental status, disability, veteran status, and any other legally protected characteristic. If you’d like more information on your EEO rights under the law, please click here Know Your Rights.
 
If you are unable to complete an application or respond to a job opening because of a disability, please contact us at

Am*********@oe******.com











or

re**********@oe******.com











. This contact information is for accessibility requests only and is not intended for inquiries about the status of applications or for third party vendors / agencies inquiries or requests.
 
Oerlikon will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Learn more about Oerlikon: 
https://www.oerlikon.com/en/brands/

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