Data Scientist

Data Scientist, InstructLab - Boston, MA

Company Description

At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, and virtualization technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies.

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.

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 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 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 …