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Data Scientist, InstructLab

Data Scientist, InstructLab

Intel CorporationBoston, MA, US
2 days ago
Job type
  • Full-time
Job description

Red Hat is the world's leading provider of enterprise open source software solutions. They utilize a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. With a global presence in 40+ countries, Red Hat associates work flexibly across various work environments (in-office, office-flex, fully remote). The company fosters an inclusive environment where diverse perspectives and ideas are valued. Red Hat supports over 90% of Fortune 500 companies.

Job Description : Data Scientist, InstructLab – Boston, MA

Job Summary : Red Hat's Global Engineering team seeks an experienced data scientist to join the InstructLab team, contributing directly to their growing AI / ML (artificial intelligence and machine learning) product family. This role involves investigating, evaluating, integrating, and developing open-source AI / ML systems and functionalities to enhance the development and operations of Red Hat's AI products and upstream open-source AI projects. The ideal candidate will actively participate in design reviews, productization efforts, and work comfortably within Linux-based operating systems. Strong collaboration, communication, and engagement with open-source communities are crucial. The position reports to a Manager of Software Engineering and requires a minimum of 3 days per week in the Boston, MA office.

Primary Job Responsibilities :

  • Develop innovative capabilities for open-source platforms used throughout the AI application lifecycle (building, training, testing, serving models). This encompasses all phases of software development and delivery : research, conceptualization, design review, implementation, testing strategy and automation, productization, packaging, and end-user deployment support.
  • Monitor and actively participate in upstream open-source AI / ML communities, evaluating new technologies and exploring integration and collaboration opportunities.
  • Stay current on AI / ML advancements, particularly in Generative AI, through regular reading of research papers.
  • Promote Red Hat's open-source values within AI / ML engineering and product development.
  • Contribute to the development of open-source projects comprising Red Hat's AI product family.
  • Share responsibility for delivering and maintaining assigned products.
  • Communicate regularly with stakeholders (engineers, product managers, consultants, management, senior leadership).
  • Act as a Subject Matter Expert (SME) as needed.
  • Mentor and collaborate with junior engineers to build their AI / ML skills.
  • Collaborate with external teams, including IBM Research.
  • Share insights and learnings through blogs, presentations, and contributions to technical outlets and conferences.
  • Foster upstream acceptance and community building.

Required Skills :

  • Bachelor's degree in computer science, data science, computer engineering, or equivalent.
  • 2+ years of experience as a data scientist (5+ years for Senior roles).
  • Proficiency in Python development and Jupyter notebooks.
  • Experience with AI / ML platforms, tools, and frameworks (TensorFlow, PyTorch, LLaMA.cpp, Kubeflow).
  • Experience with Kubernetes / OpenShift, containers, troubleshooting, and YAML.
  • Experience with Cloud Native Technologies and Platforms (e.g., Kubernetes).
  • Understanding of unit testing frameworks and methodologies.
  • Knowledge of machine learning-relevant mathematics and statistics.
  • Strong self-motivation and organizational skills.
  • Ability to manage multiple concurrent projects.
  • Excellent written and verbal communication skills.
  • Collaborative attitude and willingness to share ideas.
  • Adaptability to new tools and technologies.
  • Passion for open-source software development.

    • Nice to Haves :

  • Agile development team experience.
  • Experience writing Kubernetes controllers and operators.
  • Ansible automation script creation experience.
  • Experience with big data storage techniques (Parquet, Avro, S3).
  • Experience with hardware accelerators (GPU, CUDA, ROCm).
  • Understanding of DevOps methodology.

    • Salary Range : $104,080.00 – $166,320.00 (based on qualifications). Additional benefits include bonus, commission, equity, comprehensive medical / dental / vision coverage, retirement plan, paid time off, and more (US-based employees).

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    Data Scientist • Boston, MA, US