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27Oct

Principal Product Manager at Microsoft – Tokyo, Tokyo-to, Japan


The Web experience Japan team in Microsoft needs a strong product manager to lead initiatives to drive the business growth. Specifically the our team will focus on driving growth with MSN, Bing search and Copilot to maximize the traffic and the revenue.
About the Team
Web experience Japan team is a diverse and inclusive team. We are looking for principle product manager candidates to help us realize our vision of making Web and AI work for Japanese users! We believe great products are built by healthy teams of diverse, customer obsessed individuals that trust each other. We are seeking a principle product manager to join the team and will work in agile teams with smart, passionate engineers to bring products from inception to production. We strongly believe that collaboration enables better products, so you will work closely with Product Managers and other engineers to design solutions.
About the Role
Our team brings together capabilities in information retrieval, machine learning, user behavioral analysis, and metrics to improve search results, ads results, contents & feeds or Web browsers, relying on a culture of experimentation and continuous learning. Our goal is to build reliable web and AI products for consumers that helps Japanese customers find and consume what they are looking for faster and with confidence and trust. We aim to maximize the DAU and revenue.
In this role you will collaborate with engineers, data scientists, UX researchers, business development managers and, most importantly, external partners in local market to identify and execute the opportunities where we can expect both partner and our business growth. You will represent Microsoft and reach out to potential partners to propose the partnerships for our business. With ample scope for creativity and technical problem solving, and partner and customer-oriented mind set, you will also prioritize and execute experiments.

Responsibilities

Your responsibilities will include:
* Develop a strategy and differentiated value proposition
* Identify opportunities with local partners
* Understand current user or partner needs by doing opportunity analysis in the problem domain
* Define goals and metrics for a success solution by thinking deeply through the scenarios
* Leverage your superb interpersonal skills to collaborate and execute with a diverse team
* Provide requirements to backend platform and frontend UX teams to scale the solution out
* Continuously consume the latest consumer trend in the market and use ideas from them to inspire and direct the team
* Work with marketing and PR teams to evangelize our work

Qualifications

Minimum Qualifications
* BS degree in Computer Science or related technical field
* Experience in building and growing News Contents portal/apps, Search or AI products/apps
* Japanese/English language- business level and above
* Strong business and strategic sense to maximize product market fit
* Experience in building business partnerships by reaching out partners, pitching to partners and by closing the deals
* Great organizational, analytical, data science skills and intuition
* Customer empathy with incredible interpersonal, negotiating, and influencing skills
* Creative problem solver, strong collaboration skills, desire to lead
* Excellent academic track record
Preferred Qualifications
* A start up mentality to move and iterate quickly and aren’t afraid to cross responsibility expectations by coding or designing mockups
* Experience in online ads business and connection with key ads agencies
* MBA or advanced technical degree such as MS or PhD
* Product leadership experience driving engineers and scientists with PhDs
* Experience with Natural Language Processing and / or Computer Vision
* Coursework and demonstrated proficiency in AI/Machine Learning (TensorFlow, PyTorch, et. al.)
* Hands on experience in working with cloud, big data, machine learning, data science, and large-scale distributed systems

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.



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27Oct

AI Engineer at Maids.cc – Remote


This is a remote position.

What You’ll Do:

  • Develop and implement AI models and algorithms, leveraging Python for data analysis and model building.

  • Utilize Spring Boot for developing scalable, reliable, and secure server-side applications that integrate with our AI solutions.

  • Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.

  • Participate in the full software development lifecycle, including ideation, development, testing, deployment, and maintenance.

  • Ensure the performance, quality, and responsiveness of applications.

  • Stay abreast of the latest AI trends, technologies, and best practices to enhance our solutions continually.

Requirements

We’re Looking For Someone Who Has:

  • A bachelor’s or master’s degree in Computer Science, Engineering, AI, or a related field.

  • Proven experience in AI, machine learning, or data science, with a strong portfolio of projects.

  • Expertise in Python, with proficiency in libraries such as TensorFlow, PyTorch, Keras, and scikit-learn.

  • Solid experience in Spring Boot for building robust server-side web applications.

  • Familiarity with RESTful APIs, microservices architecture, and containerization technologies (e.g., Docker, Kubernetes).

  • Excellent analytical and problem-solving abilities.

  • Strong communication skills and the ability to work effectively in a team environment.

Benefits

  • Hands-On advanced tools, an exquisite learning experience in a progressive, technologically oriented environment.
  • Company culture of constant experimentation, strong bias for moving fast, and obsession for mapping every detail.
  • We pay for performance, and rapidly promote for superior ability. We also unhire mediocre performers decisively.



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26Oct

Gen-AI Safety Landscape: A Guide to the Mitigation Stack for Text-to-Image Models | by Trupti Bavalatti | Oct, 2024


There is also a large area of risk as documented in [4] where marginalized groups are associated with harmful connotations reinforcing societal hateful stereotypes. For example, representation of demographic groups that conflates humans with animals or mythological creatures (such as black people as monkeys or other primates), conflating humans with food or objects (like associating people with disabilities and vegetables) or associating demographic groups with negative semantic concepts (such as terrorism with muslim people).

Problematic associations like these between groups of people and concepts reflect long-standing negative narratives about the group. If a generative AI model learns problematic associations from existing data, it may reproduce them in content that is generates [4].

Problematic Associations of marginalized groups and concepts. Image source

There are several ways to fine-tune the LLMs. According to [6], one common approach is called Supervised Fine-Tuning (SFT). This involves taking a pre-trained model and further training it with a dataset that includes pairs of inputs and desired outputs. The model adjusts it’s parameters by learning to better match these expected responses.

Typically, fine-tuning involves two phases: SFT to establish a base model, followed by RLHF for enhanced performance. SFT involves imitating high-quality demonstration data, while RLHF refines LLMs through preference feedback.

RLHF can be done in two ways, reward-based or reward-free methods. In reward-based method, we first train a reward model using preference data. This model then guides online Reinforcement Learning algorithms like PPO. Reward-free methods are simpler, directly training the models on preference or ranking data to understand what humans prefer. Among these reward-free methods, DPO has demonstrated strong performances and become popular in the community. Diffusion DPO can be used to steer the model away from problematic depictions towards more desirable alternatives. The tricky part of this process is not training itself, but data curation. For each risk, we need a collection of hundreds or thousands of prompts, and for each prompt, a desirable and undesirable image pair. The desirable example should ideally be a perfect depiction for that prompt, and the undesirable example should be identical to the desirable image, except it should include the risk that we want to unlearn.

These mitigations are applied after the model is finalized and deployed in the production stack. These cover all the mitigations applied on the user input prompt and the final image output.

Prompt filtering

When users input a text prompt to generate an image, or upload an image to modify it using inpainting technique, filters can be applied to block requests asking for harmful content explicitly. At this stage, we address issues where users explicitly provide harmful prompts like “show an image of a person killing another person” or upload an image and ask “remove this person’s clothing” and so on.

For detecting harmful requests and blocking, we can use a simple blocklist based approached with keyword matching, and block all prompts that have a matching harmful keyword (say “suicide”). However, this approach is brittle, and can produce large number of false positives and false negatives. Any obfuscating mechanisms (say, users querying for “suicid3” instead of “suicide”) will fall through with this approach. Instead, an embedding-based CNN filter can be used for harmful pattern recognition by converting the user prompts into embeddings that capture the semantic meaning of the text, and then using a classifier to detect harmful patterns within these embeddings. However, LLMs have been proved to be better for harmful pattern recognition in prompts because they excel at understanding context, nuance, and intent in a way that simpler models like CNNs may struggle with. They provide a more context-aware filtering solution and can adapt to evolving language patterns, slang, obfuscating techniques and emerging harmful content more effectively than models trained on fixed embeddings. The LLMs can be trained to block any defined policy guideline by your organization. Aside from harmful content like sexual imagery, violence, self-injury etc., it can also be trained to identify and block requests to generate public figures or election misinformation related images. To use an LLM based solution at production scale, you’d have to optimize for latency and incur the inference cost.

Prompt manipulations

Before passing in the raw user prompt to model for image generation, there are several prompt manipulations that can be done for enhancing the safety of the prompt. Several case studies are presented below:

Prompt augmentation to reduce stereotypes: LDMs amplify dangerous and complex stereotypes [5] . A broad range of ordinary prompts produce stereotypes, including prompts simply mentioning traits, descriptors, occupations, or objects. For example, prompting for basic traits or social roles resulting in images reinforcing whiteness as ideal, or prompting for occupations resulting in amplification of racial and gender disparities. Prompt engineering to add gender and racial diversity to the user prompt is an effective solution. For example, “image of a ceo” -> “image of a ceo, asian woman” or “image of a ceo, black man” to produce more diverse results. This can also help reduce harmful stereotypes by transforming prompts like “image of a criminal” -> “image of a criminal, olive-skin-tone” since the original prompt would have most likely produced a black man.

Prompt anonymization for privacy: Additional mitigation can be applied at this stage to anonymize or filter out the content in the prompts that ask for specific private individuals information. For example “Image of John Doe from in shower” -> “Image of a person in shower”

Prompt rewriting and grounding to convert harmful prompt to benign: Prompts can be rewritten or grounded (usually with a fine-tuned LLM) to reframe problematic scenarios in a positive or neutral way. For example, “Show a lazy [ethnic group] person taking a nap” -> “Show a person relaxing in the afternoon”. Defining a well-specified prompt, or commonly referred to as grounding the generation, enables models to adhere more closely to instructions when generating scenes, thereby mitigating certain latent and ungrounded biases. “Show two people having fun” (This could lead to inappropriate or risky interpretations) -> “Show two people dining at a restaurant”.

Output image classifiers

Image classifiers can be deployed that detect images produced by the model as harmful or not, and may block them before being sent back to the users. Stand alone image classifiers like this are effective for blocking images that are visibly harmful (showing graphic violence or a sexual content, nudity, etc), However, for inpainting based applications where users will upload an input image (e.g., image of a white person) and give a harmful prompt (“give them blackface”) to transform it in an unsafe manner, the classifiers that only look at output image in isolation will not be effective as they lose context of the “transformation” itself. For such applications, multimodal classifiers that can consider the input image, prompt, and output image together to make a decision of whether a transformation of the input to output is safe or not are very effective. Such classifiers can also be trained to identify “unintended transformation” e.g., uploading an image of a woman and prompting to “make them beautiful” leading to an image of a thin, blonde white woman.

Regeneration instead of refusals

Instead of refusing the output image, models like DALL·E 3 uses classifier guidance to improve unsolicited content. A bespoke algorithm based on classifier guidance is deployed, and the working is described in [3]—

When an image output classifier detects a harmful image, the prompt is re-submitted to DALL·E 3 with a special flag set. This flag triggers the diffusion sampling process to use the harmful content classifier to sample away from images that might have triggered it.

Basically this algorithm can “nudge” the diffusion model towards more appropriate generations. This can be done at both prompt level and image classifier level.



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26Oct

AI Engineer II at Monotype – IND – Noida


Are you our “TYPE”?

Monotype (Global) 

Named “One of the Most Innovative Companies in Design” by Fast Company, Monotype brings brands to life through type and technology that consumers engage with every day.  

The company’s rich legacy includes a library that can be traced back hundreds of years, featuring famed typefaces like Helvetica, Futura, Times New Roman and more.

Monotype also provides a first-of-its-kind service that makes fonts more accessible for creative professionals to discover, license, and use in our increasingly digital world. We work with the biggest global brands, and with individual creatives, offering a wide set of solutions that make it easier for them to do what they do best: design beautiful brand experiences. 

Monotype Solutions India 

Monotype Solutions India is a strategic center of excellence for Monotype and is a certified Great Place to Work® three years in a row. The focus of this fast-growing center spans Product Development, Product Management, Experience Design, User Research, Market Intelligence, Research in areas of Artificial Intelligence and Machine learning, Innovation, Customer Success, Enterprise Business Solutions, and Sales. 

Headquartered in the Boston area of the United States and with offices across 4 continents, Monotype is the world’s leading company in fonts. It’s a trusted partner to the world’s top brands and was named “One of the Most Innovative Companies in Design” by Fast Company. 

Monotype brings brands to life through the type and technology that consumers engage with every day. The company’s rich legacy includes a library that can be traced back hundreds of years, featuring famed typefaces like Helvetica, Futura, Times New Roman, and more. Monotype also provides a first-of-its-kind service that makes fonts more accessible for creative professionals to discover, license, and use in our increasingly digital world. We work with the biggest global brands, and with individual creatives, offering a wide set of solutions that make it easier for them to do what they do best: design beautiful brand experiences. 

 What you’ll be doing:

  • Design, development and deployment of AI/ML solutions and models that solve complex business problems.
  • Understand business requirements, collect, clean, prepare data for machine learning and translate them into AI/ML solutions.
  • Implement best practices and come up with innovative ideas.
  • Conduct in-depth research, stay current with the latest advancements in AI/ML, and apply new findings to solve complex problems.
  • Develop and maintain scalable, production-ready code for AI models, ensuring high performance and reliability.
  • Implement and maintain data pipelines, preprocess data, and ensure data quality for machine learning tasks.
  • Work on model optimization and scalability to handle large datasets and high throughput requirements.

What we’re looking for:

  • Bachelor’s or master’s degree in computer science, Machine Learning, or a related field.
  • 3-6 years of hands-on experience in AI and ML engineering.
  • Strong understanding of machine learning concepts, algorithms, and techniques.
  • Proficiency with Prompt engineering, custom chat bots and generative image models like Midjourney, DALLE & Stable Diffusion.
  • Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with model training and deployment.
  • Proficiency with programming languages (Python, R).
  • Familiarity with data wrangling and manipulation tools (pandas, NumPy).
  • Excellent problem-solving skills and the ability to work on open-ended, ambiguous problems.
  • Strong communication skills, with the ability to convey technical concepts to a non-technical audience.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong understanding of computer vision, natural language processing, and other AI-related domains is preferred.
  • Published research papers or contributions to the AI/ML community is a significant advantage.

Monotype is an Equal Opportunities Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

#LI-DNI



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26Oct

Full Stack Developer at Permhunt – Manila, Metro Manila, Philippines


Our client is a dynamic AI-led regtech start-up shaking up the marketing compliance world. Building the first end-to-end compliance platform to help legal, compliance and marketing professionals find and solve issues before they become a problem.

We are seeking a Fullstack Engineer to help revolutionize marketing compliance. As a key member of the team, you’ll focus heavily on front-end development, working with Python and Svelte to build scalable solutions. Your work will enable organizations to detect and resolve compliance issues in seconds. If you’re passionate about AI, data visualization, and creating efficient software solutions that drive real-world results, this is your chance to be part of something transformative. Join us in shaping the future of regulatory technology!

Key Responsibilities:

  • Develop and maintain the clients web platform (built in Python and Svelte).
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Manage and mentor junior developers.
  • Ensure the performance, quality, and responsiveness of applications.
  • Identify and fix bugs; continuously improve performance including identifying and correcting bottlenecks.
  • Help maintain code quality, organisation, and automatisation.
  • Maintain and upgrade CI/CD pipeline.

Essential Skills & Experience:

  • 1-4+ years of experience in full stack development. 
  • Strong Svelte experience is very advantageous.
  • Proficiency in Python, and JavaScript.
  • Strong experience in large data collection, AI, and data visualisation.
  • Familiar with various design and architectural patterns.
  • Experience with database technologies (PostgresSQL).
  • Experience with search technologies
  • Ability to develop with UX in at the front of mind.
  • Knowledge of code versioning tools (such as Git).

Desirable:

  • Proficiency in FastAPI and Svelte.
  • Experience in a start-up environment.
  • Familiarity with cloud platforms (AWS).
  • Interest in machine learning.
  • Experience with GitHub Actions.

Benefits:

  • Flexible working hours and work-from-home options.
  • Continuous learning and development opportunities.
  • Dynamic and supportive work environment.



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26Oct

Founding Engineer – AI/Python at Oowlish Technology – Washington, District of Columbia, United States


Join Our Team
Oowlish, one of Latin America’s rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We’re looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About our client:
Our client is an innovative AI startup revolutionizing how people interact with technology through real-time, voice-driven communication solutions.Their goal is to make digital interactions as natural as speaking to a friend, enhancing accessibility and productivity for users everywhere.

Skills & Requirements:

  • AI Enthusiast: You stay updated with the latest trends and have a deep understanding of state-of-the-art models and tools for various AI tasks.
  • AI-Driven Development: You write code exclusively with AI tools like GitHub Copilot, Codium, Continue, etc., and use AI to complete every task efficiently.
  • Experience with Langchain and/or LlamaIndex
  • 5 or more years of experience working with Python
  • AWS Experience
  • Solid experience with Web automation and web scrapping
  • Shopify experience

Come join us in breaking the mold and revolutionizing the tech landscape!
You can also apply here:
Website: https://www.oowlish.com/work-with-us/LinkedIn: https://www.linkedin.com/company/oowlish/jobs/Instagram: https://www.instagram.com/oowlishtechnology/#LI-LM1#LI-CD1#LI-EA1#LI-TC1#LI-ET1#LI-TT1#LI-JH1#LI-DP1#LI-LS1#LI-AB1#LI-KN1#LI-SR1#LI-JS1#LI-FZ1





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26Oct

Meet Git Stash: Your Secret Chest of Unfinished Code | by Zolzaya Luvsandorj | Oct, 2024


Mastering Git

A powerful Git feature for temporarily saving code in progress

Imagine discovering a critical bug that needs an immediate fix while you are working halfway through a code change. Your attempt to switch branch fails because of uncommitted changes in your current feature branch. These changes aren’t ready for a commit but are too valuable to discard. In such a situation where you need to switch contexts quickly, git stash offers an elegant solution to temporarily store your unfinished code safely without committing. In this post, we will explore how to use git stash effectively.

Imagine we are writing a letter with a pen and a paper, but suddenly we had to write another more urgent letter and send it away. Our desk can hold only one letter. It would be too wasteful to throw our unfinished letter since it took us some time to write what’s written so far. Instead of throwing it away, we can put it away in a secure chest so that we can pick it up and continue once we finish this more time-sensitive letter. This will allow us to get straight on to writing this more urgent letter and send it quickly while saving our work on the other letter. In this analogy, halfway written letter is the uncommitted…



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26Oct

Data Engineer at Sanofi – Hyderabad


About Sanofi:We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives.Who You Are:You are a dynamic Data Engineer interested in challenging the status quo to design and develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards. Our vision for digital, data analytics and AIJoin us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

  • AI Factory – Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
  • Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack.
  • World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets

There are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates.   Job Highlights:

  • Propose and establish technical designs to meet business and technical requirements
  • Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies
  • Create data pipelines / ETL pipelines and optimize performance
  • Test and validate developed solution to ensure it meets requirements
  • Create design and development documentation based on standards for knowledge transfer, training, and maintenance
  • Work with business and products teams to understand requirements, and translate them into technical needs 
  • Adhere to and promote to best practices and standards for code management, automated testing, and deployments
  • Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases  
  • Develop automated tests for CI/CD pipelines
  • Gather/organize large & complex data assets, and perform relevant analysis   
  • Conduct peer reviews for quality, consistency, and rigor for production level solution
  • Actively contribute to Data Engineering community and define leading practices and frameworks
  • Communicate results and findings in a clear, structured manner to stakeholders
  • Remains up to date on the company’s standards, industry practices and emerging technologies 

Key Functional Requirements & Qualifications:

  • Experience working cross-functional teams to solve complex data architecture and engineering problems 
  • Demonstrated ability to learn new data and software engineering technologies in short amount of time
  • Good understanding of agile/scrum development processes and concepts
  • Able to work in a fast-paced, constantly evolving environment and manage multiple priorities  
  • Strong technical analysis and problem-solving skills related to data and technology solutions
  • Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders
  • Pragmatic and capable of solving complex issues, with technical intuition and attention to detail  
  • Service-oriented, flexible, and approachable team player 
  • Fluent in English (Other languages a plus)

Key Technical Requirements & Qualifications:

  • Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 
  • 4 to 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/Dbt
  • Understanding of data structures and algorithms
  • Working knowledge of scripting languages (Python, Shell scripting)
  • Experience in cloud-based data platforms (Snowflake is a plus)
  • Experience with job scheduling and orchestration (Airflow is a plus)
  • Good knowledge of SQL and relational databases technologies/concepts
  • Experience working with data models and query tuning

Nice to haves:

  • Experience working in life sciences/pharmaceutical industry is a plus
  • Familiarity with data ingestion through batch, near real-time, and streaming environments
  • Familiarity with data warehouse concepts and architectures (data mesh a plus)
  • Familiarity with Source Code Management Tools (GitHub a plus)

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!



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25Oct

Software Operations Engineer – III at Blue Origin – FL – Launch Complex


At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our diverse team of problem solvers as we add new chapters to the history of spaceflight!  

We are a diverse team of collaborators, doers, and problem-solvers who are relentlessly committed to a culture of safety. This position will directly impact the history of space exploration and will require your commitment and detailed attention towards safe and repeatable space flight. Join us in lowering the cost of access to space and enabling Blue Origin’s vision of millions of people living and working in space to benefit Earth.

As a part of a small, cross-functional team, you’ll help maintain, manage, and operate Software systems such as Linux-based and PLC software applications, Git Repositories, and Control systems as part of the Launch Operations – Ground Control Systems team supporting the New Glenn Launch Program. You’ll share in the team’s impact on all aspects of New Glenn operations by ensuring transporter erector, integration facility, test stand, launch pad, ground, and marine systems are ready for successful and safe integrated operations. We seek Software Engineers of all backgrounds who are passionate about space and possess a strong desire to serve on the providing critical GSE infrastructure to the New Glenn program.

Responsibilities:

  • Maintain and operate mission critical test equipment software applications supporting real-time telemetry and configuration of ground /vehicle systems in rocket launch environments to support reusable spacecraft operations

  • Manage & troubleshoot test equipment software applications at the launch pad and in a maritime environment in support of all phases of launch & landing operations, ensuring systems readiness and mission capabilities

  • Establish and run procedures for verification of requirements and specifications against selected test equipment software applications through bench, integrated systems, and field testing to ensure interoperability and functionality

  • Develop and maintain configuration control and inventory of test equipment software application Git repositories

  • Create detailed documentation, including functional and logical diagrams, for mission test equipment software applications

Qualifications:

  • Bachelor’s degree in electrical, computer, aerospace engineering or a related field

  • 5+ years of software development, integration, systems operation, or testing

  • Must be able to travel in support of test and flight operations.

  • Experience with high reliability mission critical software operations

  • Experience with GIT repository management

  • Experience with Python

  • Experience with Rockwell Studio 5000®

  • Experience with Linux Operating Systems and Scripting 

  • Experience with IP networking and troubleshooting tools

  • Ability to work independently and as part of a highly diversified team

  • Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.

  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Desired:

  • Experience with launch vehicle, aircraft, or spacecraft integration and test

  • Experience with Java Script, HTML/CSS, SQL, C/C++, Qt Modeling Language, MATLAB

  • Experience with Software Requirements Development

  • Experience with Allen-Bradley PLC System Architecture and Programming

  • Experience programming, debugging, and troubleshooting PLC systems

  • Experience in Microsoft Visio and Windchill PDM systems

  • Familiarity with sensors including linear variable differential transformers, resistance temperature detectors, thermocouples, pressure transducers, and resolvers

  • Knowledge of Software Architectural Development and Design Patterns and Modeling

  • Active or eligible for National Security Clearance SSBI

Applications will be accepted on an ongoing basis until the requisition is closed.

Inclusivity Statement

Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Benefits

Benefits include:  Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.

Paid Time Off:  Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.

Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.

Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “EEO Is the Law,” please see here.

Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at 

EE***********@bl********.com











.

California Applicant Privacy Notice

If you are a California resident, please reference the CA Applicant Privacy Notice here.



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25Oct

Network Security Engineer II at Yahoo – IN – India


It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world.

A Little About Us:
Yahoo is a global media and tech company that connects people to their passions. We reach nearly 900M people around the world, bringing them closer to what they love—from finance and sports, to shopping, gaming and news—with the trusted products, content and tech that fuel their day. For partners, we provide a full-stack platform for businesses to amplify growth and drive more meaningful connections across advertising, search and media.

A little bit about the team:

Yahoo’s Network Protect team is a tight knit group of people looking for a technical member to secure, build and maintain its global network infrastructure.  We are looking to grow the team to expand our support reach globally. We interface with nearly everyone within the company to assist with network issues, security policy implementation, and/or general network troubleshooting. We are primarily based out of the San Jose office and are looking forward to growing the team further.

​

Responsibilities:

  • Respond to escalations, tickets, and alerts from NOC and Helpdesk issued to network engineering in a timely manner.  Provide resolution information and collaborate with other teams to complete impact analysis where appropriate.

  • Manage network security policies (ACL) and ticket queue triaging on a daily basis.

  • The job will require rotational off hours support for daily policy pushes as well as network change management support

  • Build, enhance, and document, new and existing tools and scripts to improve operational efficiencies. 

  • Collaborate with cross-functional teams to set goals, and prioritize deliverables to meet business demands as it pertains to org-wide/company-wide initiatives.

  • Security Vulnerability analysis and resolution.

  • Participate in ’24×7 – On Call’ rotation

Qualifications:

  • Experience with a variety of device types in Juniper/Juniper SRX/Cisco Router, Switches, & VPN is required

  • Understanding of Network DDoS and other types of network integrity attacks and resolution techniques

  • Knowledge about implementing network security policies on all network device platforms.

  • Understanding of network technologies/protocols. (VRRP, BGP, ISIS, OSPF, IPSEC, etc.)

  • Systems Administration in a Unix Environment. Linux, shell programming and familiarity with cloud computing

  • Experience or knowledge of Redhat Linux specifically with IPTables, IPFW, etc.

  • Strong programming skills in Perl, Python, or GO.  CI/CD experience preferred.

  • Excellent documentation, communication, and problem resolution skills.

  • Bachelor’s or Master’s degree in Computer Science or related fields. 

  • YoE: Network/Network Security/DevOp: 3-5 years 

Good to have: 

  • Apply probabilistic, machine learning and data mining techniques to engineer production software to improve infrastructure scalability, efficiency as well as end user experience

Work Schedule:

Important notes for your attention

Applications: 

All applicants must apply for Yahoo openings direct with Yahoo.  We do not authorize any external agencies in India to handle candidates’ applications.   No agency nor individual may charge candidates for any efforts they make on an applicant’s behalf in the hiring process.  

Our internal recruiters will reach out to you directly to discuss the next steps if we determine that the role is a good fit for you.  Selected candidates will go through formal interviews and assessments arranged by Yahoo direct.  

Offer Distributions: 

Our electronic offer letter and documents will be issued through our system for e-signatures, not via individual emails.

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements. 

If you’re curious about how this factors into this role, please discuss with the recruiter.

Currently work for Yahoo? Please apply on our internal career site.



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