Senior Data Scientist

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.

The ideal candidate will be a highly collaborative individual with a passion for working on complex projects in an open organization where contributions are valued and expected from all levels. This job role will require engaging in upstream open source communities. As this is a fast-moving area of opportunity for Red Hat, the ability to communicate productively and effectively with team members, stakeholders, and Red Hat leadership is critical.

This position reports directly to a Manager of Software Engineering for InstructLab. This position must have the ability to partner collaboratively in the local office at least 3 days per week.

What you will do:

• 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 reading papers and keeping 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.

What you will bring:

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

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

• 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 methodologies

• Demonstrates 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