Data Scientist (Data Processing) page is loaded Data Scientist (Data Processing) Apply remote type Hybrid locations Boston time type Full time posted on Posted Yesterday job requisition id R-042111 Job Summary At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges. Red Hat’s Global Engineering team is looking for an experienced Machine Learning Engineer to join the Agentic and AI Engineering Tools team in Data Processing. In this role, you’ll contribute directly to Red Hat’s rapidly growing AI/ML family of products and will be responsible for the investigation, evaluation, integration, and development of open source AI/ML systems and functionality to improve the overall development and operations of both Red Hat’s downstream AI products and upstream open source AI projects. The Data Processing team is responsible for creating the libraries and tooling that will enable Data Scientists, Machine Learning Engineers and AI Engineers to ingest data and process it for model customization or AI application development. The ideal candidate will have a proven background in delivering enterprise level AI/ML solutions. As part of your responsibilities, you will regularly participate in design reviews, contribute to the productization of major features, and support bug fixes. Primary Job Responsibilities Develop innovative capabilities for open source platforms used for building, training, testing, and serving models for AI-enabled applications, carrying your work through all phases of software development and delivery, including: researching and conceptualization, team design review, writing the implementation, authoring a testing strategy and necessary automation, productizing and packaging the code, and supporting its deployment through to end-users.

Help evaluate and refine data ingestion and processing tools usability and effectiveness; contribute to feature definitions, improving data processing and validation for building ML models

Monitor and participate in upstream open source AI/ML communities, evaluating new AI/ML-related technologies in the space and considering potential integrations and collaborations upstream.

Coordinate and collaborate with external teams, including IBM Research on key strategic vision and implementation details.

Share our experiments and learnings from an experienced position in the Data Science community through blogs, presentations, new ideas and existing work at various technical outlets and conferences.

Regularly read papers and keep up with AI/ML developments, particularly in the Generative AI space.

Required Skills 3+ years of experience as a Data Scientist, or similar role.

Develop machine learning, data mining, and statistical techniques to analyze datasets and solve problems.

Collaborate with AL/ML engineers and community leaders to implement data-driven solutions.

Translate complex data into visualized presentations for internal stakeholders.

Experience with Jupyter notebooks and Python development.

Experience with AI and Machine Learning platforms, tools, and frameworks, such as Docling Spark, PyTorch, LLaMA.cpp, vLLM, NumPy, Pandas, and Tensorflow.

Experience with evaluation of LLMs with standard benchmarks such as mt-bench, MMLU, LLMaaJ, Ragas, DK-bench, etc.

Ability to quickly learn and use new tools and technologies.

Nice to Have Experience working with Kubernetes/OpenShift and containers.

Understanding of DevOps methodology, scrum, and/or Jira.

Bachelor's degree or higher in computer science, a related discipline, or equivalent years of experience.

#LI-AJ1 #AI-HIRING The salary range for this position is $104,080.00 - $166,320.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply. About Red Hat We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge. Open unlocks the world’s potential At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are. Some of the most knowledgeable and passionate people in the technology industry work here. Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond.

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