Author: The Hub

ALDIA es una multinacional con sede central en Londres y con presencia en algunos de los principales países de la Unión Europea (Inglaterra, Suecia, España, Francia y Alemania). Nos especializamos en la consultoría tecnológica y de ingeniería. Nuestro core de actividad se centra en las áreas claves de las industrias de Seguros, Finanzas, Comunicación, Infraestructura, Multimedia, Entretenimiento, Automoción, Ferroviario, Turbinas Eólicas y Oil & Gas.

ALDIA trabaja con su propio grupo de consultores para mejorar la calidad, crear estabilidad, minimizar riesgos y aportar soluciones tecnológicas e innovadoras formando parte de todas las fases del ciclo completo de vida de los procesos incorporando la metodología ágil en cada uno de ellos.

En la actualidad, estamos buscando un/a Data Engineer para que se incorpore a nuestro equipo de consultores de forma indefinida y que trabaje directamente con nuestro cliente editorial de investigaciones científicas.

¿Qué buscamos?

Un/a Data Engineer para realizar la siguientes funciones:

•  Comprender y promover los mejores marcos y soluciones de datos, estándares técnicos y tecnologías clave, para respaldar de manera efectiva los requisitos comerciales existentes y futuros.
• Comprender los requisitos funcionales para definir los mejores modelos de datos y flujos de datos entre las aplicaciones, servicios, almacenamientos de datos y mecanismos de sincronización.
• Apoyar a los diferentes equipos de desarrollo de SW en el modelado, diseño, construcción, evolución y desmantelamiento de sus aplicaciones data-intensive y modelos de datos.
• Integrar, transformar y consolidar datos de varios sistemas de datos estructurados y no estructurados en estructuras adecuadas para crear soluciones de análisis.
• Procurar que la aplicaciones/procesos de datos sean escalables, fiables, seguros, extensibles, trazables, disponibles y gestionables.
• Diseñar, implementar, monitorear y optimizar nuestras plataformas de datos.
• Trabajar en estrecha colaboración con los arquitectos de TI para proporcionar soluciones de datos generales consistentes y confiables para todo el ecosistema de aplicaciones.
• Crear una asociación con equipos Scrum y POs, entendiendo la aplicación y los requisitos comerciales, y ayudándolos a comprender los datos a través de la exploración, la construcción y el mantenimiento de pipelines seguras para el procesamiento de datos.
• Colaborar estrechamente con el equipo de Data Science y Machine Learning para mejorar el rendimiento de nuestras pipelines de aprendizaje automático.
• Crear modelos y prototipos que validen tus ideas, antes de llevarlas al equipo de desarrollo.
• Crear y mantener actualizados los documentos que describen la estrategia de datos de su dominio de aplicaciones, así como todas las pautas y estándares relevantes.
• Comprender los requisitos funcionales para definir los mejores modelos de datos y flujos de datos entre las aplicaciones, servicios, almacenamientos de datos y mecanismos de sincronización.

Requisitos

• SQL, Python o Scala.
• Spark y PySpark.
• Conocimientos del procesamiento paralelo y los patrones de arquitectura de datos.
• Conocimientos sólidos sobre DataBricks, DataFactory, SQL Server, MongoDB.
• Se valora ElasticSearch y DeltaLake.
• Experiencia en la construcción de Data Lakes
• Experiencia en procesamiento de datos: ingesta y transformación de datos, procesamiento batch, procesamiento de transmisión de datos, procesamiento distribuido, monitoreo, optimización, registro.
• Experiencia en la resolución de problemas de procesamiento y almacenamiento de datos.
• Conocimiento de los estándares de seguridad de datos.
• Conocimiento del diseño de la capa de servidor: esquema en estrella, dimensiones, carga incremental, tiendas.
• Conocimiento de las estructuras físicas de almacenamiento de datos: compresión, particionamiento, fragmentación, redundancia, distribuciones, archivado.

Ventajas

• Contrato Indefinido
• Plan de Carrera

Company Description

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

Job Description

Through leading innovations, we help farmers around the world meet the challenge of feeding a growing population and taking care of our planet. As part of Syngenta Canada, the Data Quality Intern will be responsible for developing and monitoring data validation rules, conducting data quality assessments, and providing recommendations for data quality improvement. The role involves utilizing statistical analysis to identify anomalies, investigating data quality cases, and maintaining documentation for data quality processes and best practices. The ideal candidate should possess excellent technical skills in data analysis and data quality assessment, along with excellent analytical and communication abilities.

This position has a flexible work location and can be based in Guelph, ON, Calgary, AB, or remotely across Canada.

Accountabilities:

• Develop validation rules and create data quality frameworks for ongoing data condition monitoring.
• Utilize data profiling and statistical analysis to identify anomalies in datasets for OTG data.
• Monitor data condition and report on data quality metrics regularly.
• Conduct routine data quality assessments and produce exception reports.
• Determine business impact levels for data quality issues and provide recommendations for improvement.
• Investigate and analyze data quality cases and inquiries, identifying root causes and developing effective resolutions.
• Develop and maintain documentation for data quality processes, procedures, and best practices.

Qualifications

• Educational background in a quantitative related field (e.g.: Computer Science, Information Systems, Engineering) or equivalent practical experience.
• Proficiency in data profiling, data querying and statistical analysis tools, such as SQL, R, Python.
• Proficiency in data analysis, logical formulas, pivot table in MS Excel.
• Experience with data analysis, data validation, data reconciliation, or a related field.
• Experience with visualization, and analytics tools such as Tableau, Salesforce Analytics, Qlik.
• Excellent Ability to develop and maintain analytical processes, code, and reports.
• Excellent attention to detail and ability to identify data patterns and discrepancies.
• Excellent problem-solving skills, and organized approach to work.

Additional Information

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.

Syngenta Contact Information: 
If you need assistance during the application process, please contact the Service Desk at

re************@sy******.com

Syngenta Canada welcomes applications from all qualified candidates and can accommodate persons with disabilities.  For more information about accommodation during any stage of the recruitment process or if you would like more information on our accommodation policies, please contact

re************@sy******.com

WL: Intern

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Job Description

What does this role involve

You will become part of the research-oriented project, aiming for open-source ML community contribution and ML conference publication. A hybrid work model guided by goals from the Research Proposal developed during the hiring process. The position is a 6-month, full-time contract with flexible working hours, aimed at those pursuing academic degrees like a master’s, or beginning a PhD.

Embark on a dynamic journey with Allegro’s talent Program, e-Xperience 2024, spanning from September 1st, 2024, to February 28th, 2025. 
Are you ready to kickstart your career? Apply now and seize the chance to shape the future of e-commerce!

We are looking for people who:

• Have practical experience with Deep Learning and Big Data

• Have critical thinking skills and a theoretical understanding of ML

• Know the methodology of conducting scientific research 

• Know Python and data visualization libraries at the advanced level

• Know common ML libraries (torch, transformers, pandas, numpy)

• Know English at B2+ level and can present results in verbal and written form

The following are also a plus:

• Experience with cloud platforms (GCP, AWS, or Azure) 

• Hands-on experience with LLMs: prompt engineering, model evaluation 

What we offer:

• A hybrid work model that you will agree on with your leader and the team. We have well-located office (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)

• A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)

• English classes that we pay for related to the specific nature of your job

• The necessary tools for work

• Working in a team you can always count on — we have on board top-class specialists and experts to learn from

• Hackathons and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)

Why is it worth working with us?

• Cooperation with industry researchers with a strong publication track record, deploying ML models at an unprecedented scale anywhere else in Poland

• Access to massive one-of-a-kind, text and image e-commerce datasets

• Access to required compute and commercial LLMs from Google and Microsoft

• While working on a problem, you will conduct literature reviews and discuss findings with other team members during internal seminars

Research domains you may explore:

Product Findability:

1. Product retrieval and listing reranking: multi-vector semantic search, robust text/image representation, object detection and segmentation, user personalization

2. Optimization of data-processing and monitoring tools for the online large-scale recommendation system: developing novel methods utilizing ML approach

3. LLM agents for product search: query understanding, raw data annotation, item comparison, automatic knowledge graph generation

Natural language processing:

1. LLM investigations: domain adaptation, cross-lingual transfer, performance optimization, information extraction, synthetic data generation

2. LLM agents for internationalization: MT quality evaluation, context-aware translation, localized recommendation (all for CEE languages)

Do you want to get to know us better?
Check our Blog: https://ml.allegro.tech/

Listen to: Allegro Tech Podcast

Send in your CV, join the e-Xperience and see why it is #dobrzetubyć (#goodtobehere)

Company Description

About Us:  Epsilon is an all-encompassing global marketing company.

We are the first of a new breed of marketing company, harnessing the power of rich data, groundbreaking technologies, engaging creative and transformative ideas to get the results our clients require.

We employ over 5000 associates in 60 offices worldwide and are recognized by Ad Age as the #1 World Largest CRM/Direct Marketing Network, and the #1 US Agency from All Disciplines.  

In addition, we’re the only company acknowledged as a leader in the categories of database marketing, email marketing and loyalty programs in independent studies by Forrester Research.

We are the global leader in making connections between people and brands.  For more information, visit www.epsilon.com

Job Description

Role Summary:

The Data Client Solutions team serves a central role by providing unparalleled customer service to our clients and internal stakeholders. This role requires understanding clients’ marketing goals and tailoring Epsilon’s data to achieve those goals.

The Lead Data Solutions Specialist is not a “hands-off” role. Once you are trained on our data and tools, you will quickly start working directly on client initiatives with cross-functional teams and will be involved throughout the client lifecycle from onboarding to campaign execution to ongoing maintenance. You will have the opportunity to be an integral participant in strategic initiatives while leading your own team of Specialists.

Key Responsibilities:

• Manage and mentor direct reports
• Monitor team’s workload focusing on quality and on-time delivery
• Lead and participate in team key initiatives and cross-functional projects
• Client and Sales support responsible for in-take and execution of intermediate to complex promotion programs, including establishing and monitoring program timelines
• Understand product application, best practices, and guidelines in relation to client strategy
• Proactively coordinates regular meetings with team members to review forecasts, orders, client-specific operational documentation, custom programming requests, and jobs in progress

Knowledge, Skills, and Qualifications:

• 5+ years in client support role
• Bachelor’s Degree preferred
• Management or Lead experience preferred
• Previous experience in data marketing is a plus
• Excellent communication and client-facing skills
• Strong attention to detail and delivery of high-quality results
• Experience in project management or project coordination
• Ability to identify, troubleshoot, and recommend solutions related to campaign execution
• Proven effectiveness in managing multiple tasks and/or projects
• Flexible and adaptable to change

Salary Range: $82,000-$92,000

The application deadline for this job posting is 07/07/2024.

Additional Information

About Epsilon

Epsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe. Epsilon accelerates clients’ ability to harness the power of their first-party data to activate campaigns across channels and devices, with an unparalleled ability to prove outcomes. The company’s industry-leading technology connects advertisers with consumers to drive performance while respecting and protecting consumer privacy. Epsilon’s people-based identity graph allows brands, agencies and publishers to reach real people, not cookies or devices, across the open web. For more information, visit epsilon.com.

When you’re one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. Check out a few of these resources to learn more about what makes Epsilon so EPIC:

• Our Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon
• Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog
• DE&I: https://www.epsilon.com/us/about-us/diversity-equity-inclusion
• CSR: https://www.epsilon.com/us/about-us/corporate-social-responsibility

Great People Deserve Great Benefits

We know that we have some of the brightest and most talented associates in the world, and we believe in rewarding them accordingly. If you work here, expect competitive pay, comprehensive health coverage, and endless opportunities to advance your career.

Epsilon is an Equal Opportunity Employer.  Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process.

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Skill required: Delivery – Search Engine Optimization (SEO)
Designation: Specialist
Qualifications:Any Graduation
Years of Experience:7 – 11 Years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Data & AI

In Search Engine Optimization, you will be responsible for analyzing a Web site’s search engine optimization effectiveness and develop and prioritize opportunities to improve the sites ranking in online search engines.
What are we looking for? • On & off Page Search Engine Optimization (SEO)
• Technical SEO
• Content Audit & Development
• Ability to work well in a team
• Ability to perform under pressure
• Adaptable and flexible
• Agility for quick learning
• Commitment to quality
Roles and Responsibilities: • In this role you are required to do analysis and solving of moderately complex problems
• May create new solutions, leveraging and, where needed, adapting existing methods and procedures
• The person would require understanding of the strategic direction set by senior management as it relates to team goals
• Primary upward interaction is with direct supervisor
• May interact with peers and/or management levels at a client and/or within Accenture
• Guidance would be provided when determining methods and procedures on new assignments
• Decisions made by you will often impact the team in which they reside
• Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
• Please note that this role may require you to work in rotational shiftsAny Graduation

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Health Data Architect, Lead

The Opportunity:  

For an organization to transform in today’s digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We’re looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for the nations public health.  

As a data architect on our team focused on federal health agency clients, you will play a critical role in designing and implementing the overall data architecture for the clients’ data ecosystems, ensuring that it meets the current and future needs of the government agency and its stakeholders. You’ll have a deep understanding of data modeling, data integration, and data management best practices, as well as expertise in designing scalable, secure, and performant data architectures for cloud-based environments. You will have the ability to analyze complex data requirements and design effective and efficient data architectures to meet those requirements, while collaborating closely with stakeholders.

Join us. The world can’t wait. 

You Have:

• 10+ years of experience with leading business process assessment, reengineering, or architectural development

• 7+ years of experience with cloud-based data platforms

• Experience with enterprise data warehouse solutions, including design, modeling, implementation, security and system administration

• Knowledge of data modeling, data integration, and designing scalable data architectures

• Knowledge of AWS cloud services, cloud architecture best practices, big data technologies and ETL processes within the AWS ecosystem

• Knowledge of SQL with scripting languages, such as Python or Scala

• Knowledge of AI/ML platforms and data requirements to facilitate the development of AI/ML models

• Ability to implement data governance and security policies, including customer-managed keys and VPCs

• Public Trust

• Bachelor’s degree in Computer Science, Data Science, or Information Technology

Nice If You Have:

• Experience with advanced data transformations using PySpark APIs

• Experience with management across AWS environments using Terraform

• Knowledge of Delta Lake

• Knowledge of platform administration on AWS, particularly with Databricks deployments

• Knowledge of Python in implementing classes and working within Databricks notebooks

• Ability to manipulate data in Delta Lake tables with SQL

• Ability to articulate complex data architecture topics with technical and non-technical audiences

• AWS Certified Solutions Architect or Databricks Certified Data Engineer Associate Certifications

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.

  

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.  

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. 

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.  

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.  

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

   

Associate Manager – Business Intelligence

Department – Commercial Analytics, GBS

 

Location: Bangalore

 

Job level: 7

 

Are you looking for a challenging role where you can support strategic development and drive continuous improvements? Are you ready to take on operational responsibility and manage tasks within our Commercial Analytics team? If you are passionate about delivering high-quality service and making a difference, then this Associate Manager position at Novo Nordisk is the perfect opportunity for you. Read on and apply today for a life-changing career.

 

About the department

The Commercial Analytics team is part of Finance Global Business Services (GBS) at Novo Nordisk in Bangalore. Established in 2007, Finance GBS is responsible for supporting various finance functions globally. The Commercial Analytics team, founded in 2013, aims to provide dedicated analytics professionals to deliver best-in-class services and insights to the global organization. Our team is committed to delivering superior service, standardization, and efficiency.

As an Associate Manager at Novo Nordisk, you will have the following responsibilities:

• Support the strategic development of Commercial Analytics services within the unit. Take operational responsibility and manage tasks within the GBS CA.
• Operational responsibility and Management task within GBS CA.
• Drive continuous improvements on supported business processes to comply with the CA Strategy.
• Ensure a high level of service, quality, efficiency, effectiveness, and end-user friendliness.
• Optimize processes and increase productivity. Collaborate with stakeholders to develop process competences and solutions.
• Manage contracts, service level agreements, and addendums. Create awareness about department capabilities and manage team growth.
• Drive team performance to ensure customer satisfaction. Ensure onboarding and relevant training of new employees in the department.

To be successful in this role, we are looking for a candidate with the following qualifications:

• Master’s degree in a relevant field.
• Proven experience in operational management and process improvement.
• Strong organizational and leadership skills.
• Excellent communication and interpersonal skills.
• Ability to collaborate with stakeholders at all levels.
• Knowledge of health and safety requirements. Proficient in Microsoft Office Suite.
• Experience in finance or analytics is a plus.

Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 63,000 employees around the world. We recognize the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk, we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Together, we go further. Together, we’re life changing.

 

Contact

To submit your application, please upload your CV online (click on Apply and follow the instructions).

Apply Now!

 

Deadline

4th June 2024.

 

 

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 

 

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.

 

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

About the team:

Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

At Klaviyo, we love tackling tough engineering problems and look for employees who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies, and work hard to ensure each day is better than the last. Learn more about our engineering culture at https://klaviyo.tech

About the role:

The Senior Machine Learning Engineer will help build foundational models at Klaviyo that extract insights from the massive streams of data that Klaviyo ingests continuously. You will work with teammates including data scientists to apply cutting edge techniques from deep learning, language modeling, recommender systems, and more to generate value for our customers by allowing them to target and personalize their messages. You have capable software engineering skills and are familiar with the entire ML lifecycle from inception to production. 

You use and promote best practices to ensure high software code quality and machine learning performance. You have experience in machine learning, and have already trained and developed models in the recommender, NLP, or related areas. You are determined, motivated, and ready to overcome new challenges to build the best solutions.

This role is based in Boston, MA and requires a weekly hybrid in-office component. 

How you’ll have an impact:

30 days 

• You will have finished on-boarding including engineering and data science specific on-boarding.
• Your local developer environment is set up and usable.
• You will have met multiple members of the Data Science team and are familiarizing yourself with both the Klaviyo product and the relevant data sources available to you.

60 days 

• You will understand what’s needed to tackle your initial project including the data needed, the success metrics, the technical approach, the experiments needed to test performance in production, etc. 
• You are able to pull data and train and test models in Klaviyo’s ML development environment. 
• You are actively contributing code and providing valuable feedback to teammates and peers through RFC reviews, code reviews, etc.

90 days

• You will be actively iterating on models for your first project.
• You will be actively working with teammates to identify obstacles and gaps in our systems and scoping work to address these in partnership with relevant stakeholder teams.

Up to 1 year 

• You will have developed multiple impactful models that use Klaviyo’s data, which you have put into production and are generating value in novel and powerful ways for our customers.

What we’re looking for:

• 5+ years experience in machine learning or data science
• Experience in at least one of NLP or recommender systems.
• Experience working with models trained on massive datasets.
• Experience putting models into production, as well as monitoring and maintaining them in the long term
• Experience writing code to high software engineering standards, following best practices such as test-driven development, code review
• Experience working with databases, REST interfaces, and other modern SaaS development patterns
• Experience mentoring team members in technical areas.

Nice to have:

• Experience with frameworks such as Huggingface, PyTorch, Tensorflow, Keras
• Experience with distributed training with Spark, Ray, etc.
• Experience working with customers directly

#LI-Onsite      #LI-CB2

The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.

Base Pay Range For US Locations:$156,800—$235,200 USD

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. 

You can find our Job Applicant Privacy Notice here.