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Job Summary Red Hat's Global Engineering team is looking for an experienced data scientist to join the InstructLab team. In this role, you'll contribute directly to Red Hat's rapidly growing AI/ML (artificial intelligence and machine learning) family of products. You 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. Qualified data scientists in this role regularly participate in design reviews and productization for major product features and bug fixes, and are experienced and comfortable working with Linux-based operating systems.
This position reports directly to a Manager of Software Engineering for InstructLab. This position must have the ability to partner collaboratively in our Boston, MA office at least 3 days per week.
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.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.Regularly read papers and keep up with AI/ML developments, particularly in the Generative AI space.Promote and foster Red Hat's open-source value proposition as it pertains to AI/ML engineering and product infusion and development.Contribute to the development of the open-source projects that comprise Red Hat's AI family of products.Take part in the shared responsibility of delivering and maintaining assigned products.Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.Take on the role of Subject Matter Expert, as needed, per domain and project.Lead, coach and collaborate with junior engineers as they build AI/ML knowledge and skills.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.Promote upstream acceptance and community building.Required Skills Bachelor's degree in computer science, data science, computer engineering or equivalent5+ years of experience as a data scientist (or similar roles).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 working with Kubernetes/OpenShift and containers, troubleshooting issues, and working with YAML.Experience with Cloud Native Technologies and Platforms (e.g. Kubernetes)Demonstrates knowledge of unit testing frameworks and methodologiesDemonstrates knowledge of machine learning relevant mathematics and statistics.Strong self-motivation and organizational skills.Demonstrates 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.Nice to Haves Familiarity with participating in an agile development teamExperience writing Kubernetes controllers and operators.Experience with big data storage techniques, such as Parquet, Avro, and S3.Experience with hardware accelerators, such as GPU, CUDA, and ROCm.Understanding of DevOps methodology.The salary range for this position is $127,890.00 - $211,180.00. 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.
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. We welcome and encourage applicants from all dimensions of diversity.
Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer.
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