Principal Data Scientist

Do you like the vibe of a brand new team where you have the opportunity to influence your future way of working? Are you attracted to the idea of a virtual assistant which is more than just a wrapper on top of somebody else’s large language model technology? We are building a team to develop and deliver Red Hat’s own flavor of large language model to power our product-supporting virtual assistants and we look for people like you.

Become an AI science leader in a team which will play a critical role in infusing Red Hat products with generative AI. In this role, you will use your expertise with generative AI to fine tune large language models using Red Hat’s unique knowledge and expertise. More importantly, you will shape Red Hat systems built from ground up for this purpose. You will participate not only in designing and executing scientific experiments but also in design, deployment, configuration and optimization of the infrastructure underneath. The ideal candidate will therefore be excited about the science as well as the code.

You will contribute directly to Red Hat’s rapidly growing AI/ML (artificial intelligence and machine learning) family of products. This is a very high profile project and the position is critical to the project's future success. It includes a lot of flexibility and therefore requires a highly motivated and self-driven individual.

Primary Job Responsibilities

• Modify pre-trained large language models to make their responses fit for the intended purpose. Design, run, and analyze scientific experiments to constantly improve our fine tuning results.

• Work with subject matter experts as well as with feedback received from end users to evaluate the quality of the responses given by the resulting large language model

• Design systems, integrations and processes required to achieve the best fine tuning results, including selection and integration of data sources, data pre-processing and subsequent quality evaluation.

• Contribute to the entire stack, from active participation in the fine tuning process to the implementation of and ongoing optimization of the designed systems

• Maintain an overview of the generative AI technology space, provide mentoring and leadership to other team members

• Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.

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

• Work in a fast-paced agile globally distributed environment of talented engineers

Required Skills

• Bachelor's degree in computer science, data science, computer engineering or equivalent

• 5+ years of experience as a data scientist (or similar roles)

• At least 2 years of demonstrated leadership experience at any capacity

• Extensive, advanced experience with Python development.

• Experience with AI and Machine Learning platforms, tools, and frameworks, such as: Tensorflow, PyTorch, LLaMA.cpp, and Kubeflow.

• Experience with Cloud Native Technologies and Platforms (e.g. Kubernetes)

• Demonstrated knowledge of machine learning relevant mathematics and statistics.

• Strong self-motivation and organizational skills.

• Demonstrated ability to context switch between multiple concurrent projects.

• Excellent English written and verbal communication skills.

• Collaborative attitude and willingness to share ideas openly.

• Ability to quickly learn and use new tools and technologies.

Preferred skills

• Experience with agile development

• Experience with CI/CD systems

• Experience with big data storage techniques, such as Parquet, Avro, and S3.

• Understanding of DevOps methodology.

• Experience working with Kubernetes/OpenShift and containers, troubleshooting issues, and working with YAML.

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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. 

Diversity, Equity & 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 diverse 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 of diversity that compose our global village.

Equal Opportunity Policy (EEO)
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