Applied Science Intern

GitHub, Inc.

8d•$40 - $106•Remote

About The Position

GitHub is the home for software development, where we collaborate to build the world’s leading AI-powered developer platform. GitHub Applied Science partners closely with engineering and product teams to advance AI-driven developer experiences—turning research ideas into practical innovations that scale to millions of developers. The Applied Science team works across multiple research and product areas, including AI evaluation and quality systems, agentic AI experiences, and model post‑training techniques to improve reliability, correctness, and usefulness. We focus on rigorous experimentation, rapid prototyping, and close collaboration to ensure scientific advances translate into real-world impact for developers. We are looking for talented PhD students to join us for a research internship in 2026. This is a remote summer internship for 12 consecutive weeks, with start dates between May and June 2026.

Requirements

Currently studying for a PhD in Machine Learning, AI, Statistics, Computer Science or a similar field.
Research experience in at least one of the following areas: machine learning, natural language processing, information retrieval, evaluation and experimentation, agentic systems, reinforcement learning or preference optimization.
Available to work full time for a minimum of 12 weeks while not concurrently enrolled in coursework.
2+ years of experience building research concepts or Machine Learning systems in Python or another relevant programming language (e.g., Go, C++, Java, TypeScript).

Nice To Haves

Track record of working both independently and collaboratively.
Published research or strong research artifacts related to AI systems, machine learning, or developer tools.
Experience designing or working with evaluation methodologies, benchmarks, building datasets, or large-scale experimental pipelines.
Familiarity with developer tooling, programming languages, or systems that operate on source code (e.g., compilers, analyzers, IDEs, or related infrastructure).
Strong written and verbal communication skills, with experience collaborating across research and engineering teams.
Experience building developer tools or with LLMs for coding.

Responsibilities

In this role, you will work with one of the Applied Science teams at GitHub on a specialized research project focused on advancing AI-powered developer experiences.
You will carry out research, run experiments, and build prototypes at the intersection of machine learning, software engineering, and large-scale systems.
Depending on the team and project, your work may involve improving how AI systems are evaluated and measured, exploring agentic approaches that enable AI to reason over tools, context, and goals, or investigating post‑training and data strategies to improve model performance in real-world developer workflows.
You will collaborate closely with Applied Scientists and Engineering, and your work will contribute to product decisions, system design, and future research directions across GitHub’s AI platform.

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