## About Git

Hub

GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot.

Locations

In this role you can work from Remote, United States

Overview

At GitHub, we’re building the next generation of AI‑powered developer experiences. We’re looking for a Staff Applied Researcher with deep expertise in Large Language Model (LLM) evaluation, LLM agents, strong engineering instincts, and a bias for action to help shape the future of GitHub Copilot and our AI platform.

This is a high‑impact role where you will design evaluation systems that directly influence how millions of developers experience AI every day.

Responsibilities

Lead Model Quality & Evaluation

• Design next‑generation evaluation frameworks for code generation, reasoning, safety, multimodal tasks, and agentic workflows.

• Develop scalable automatic metrics, LLM‑judge systems, reward models, and human‑in‑the‑loop evaluation pipelines.

• Establish high‑signal, repeatable methodologies that influence product decisions across GitHub AI.

Drive Applied Research & Engineering

• Build and optimize evaluation tooling, datasets, benchmarking systems, and experimentation pipelines.

• Create and onboard new benchmarks for the hardest tasks for the coding agents.

• Collaborate closely with engineering teams to productionize research, validate improvements, and accelerate model iteration cycles.

• Own end‑to‑end quality insights for the models behind GitHub Copilot and new AI features.

• Work closely with product development, engineering, and design teams to integrate advanced research findings into practical applications, ensuring alignment with product goals and user needs.

Influence, Mentor & Lead

• Shape GitHub’s strategy for model quality, alignment, and evaluation.

• Mentor other researchers and engineers, helping elevate technical standards across the organization.

• Drive clarity in ambiguous problem spaces and champion fast, high‑quality execution.

Qualifications

Required Qualifications

• Bachelor's degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 8+ years' experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field,OR master's degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 6+ years' experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field,

• OR doctorate in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 4+ years' experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field,

• OR equivalent experience.

• 3+ years of strong engineering skills in Python/Typescript and experience building production grade evaluation or data/ML pipelines at scale.

• Proven track record shipping research or evaluation systems in production environments.

• Strong cross‑functional communication and influence skills.

Preferred Qualifications

• Experience with LLM judge systems, reward modeling, alignment, or safety evaluations.

• Background in code generation, developer tools, or AI‑assisted programming.

• Experience with large‑scale experimentation and online/offline evaluation strategies.

• Open‑source contributions or experience working with developer communities.

• Experience designing and leading complex research projects from ideation to implementation

• Ability to define and articulate data-driven strategies that consider cross-functional impacts and align with organizational priorities, particularly in a software development platform context

Compensation Range

The base salary range for this job is USD $140,400.00 - USD $372,300.00 /Yr.

These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.

GitHub values

• Customer-obsessed

• Ship to learn

• Growth mindset

• Own the outcome

• Better together

• Diverse and inclusive

Manager fundamentals

• Model

• Coach

• Care

Leadership principles

• Create clarity

• Generate energy

• Deliver success

Who We Are

GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.

Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!).
At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms.

Join us, and let’s change the world, together.

EEO Statement

GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Lead Model Quality & Evaluation

• Design next‑generation evaluation frameworks for code generation, reasoning, safety, multimodal tasks, and agentic workflows.

• Develop scalable automatic metrics, LLM‑judge systems, reward models, and human‑in‑the‑loop evaluation pipelines.

• Establish high‑signal, repeatable methodologies that influence product decisions across GitHub AI.

Drive Applied Research & Engineering

• Build and optimize evaluation tooling, datasets, benchmarking systems, and experimentation pipelines.

• Create and onboard new benchmarks for the hardest tasks for the coding agents.

• Collaborate closely with engineering teams to productionize research, validate improvements, and accelerate model iteration cycles.

• Own end‑to‑end quality insights for the models behind GitHub Copilot and new AI features.

• Work closely with product development, engineering, and design teams to integrate advanced research findings into practical applications, ensuring alignment with product goals and user needs.

Influence, Mentor & Lead

• Shape GitHub’s strategy for model quality, alignment, and evaluation.

• Mentor other researchers and engineers, helping elevate technical standards across the organization.

• Drive clarity in ambiguous problem spaces and champion fast, high‑quality execution.

Required Qualifications

• Bachelor's degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 8+ years' experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field,OR master's degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 6+ years' experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field,

• OR doctorate in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 4+ years' experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field,

• OR equivalent experience.

• 3+ years of strong engineering skills in Python/Typescript and experience building production grade evaluation or data/ML pipelines at scale.

• Proven track record shipping research or evaluation systems in production environments.

• Strong cross‑functional communication and influence skills.

Preferred Qualifications

• Experience with LLM judge systems, reward modeling, alignment, or safety evaluations.

• Background in code generation, developer tools, or AI‑assisted programming.

• Experience with large‑scale experimentation and online/offline evaluation strategies.

• Open‑source contributions or experience working with developer communities.

• Experience designing and leading complex research projects from ideation to implementation

• Ability to define and articulate data-driven strategies that consider cross-functional impacts and align with organizational priorities, particularly in a software development platform context