Staff Software Engineer (ML/AI) - Remote

Staff Software Engineer (ML/AI) - Remote

Full-Time 80100 - 97900 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Design and develop AI-powered software solutions that impact millions of developers worldwide.
  • Company: Join GitHub, the leading platform for innovative software development.
  • Benefits: Enjoy competitive pay, remote work flexibility, and generous learning opportunities.
  • Other info: Embrace diversity in a remote-first environment with excellent career growth potential.
  • Why this job: Be part of a team shaping the future of software with cutting-edge AI technology.
  • Qualifications: 9+ years in software engineering with expertise in languages like Python, Java, or Rust.

The predicted salary is between 80100 - 97900 £ per year.

GitHub is the world's leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software.

In this role you can work from Remote, United Kingdom. GitHub is shaping the future of software development in the age of AI agents — and search is at the heart of it. We're looking for a Staff Software Engineer to help develop, scale, operate and extend Blackbird including integrating with AI Agents and developing new AI-powered software development workflows. You'll be part of our Copilot Agents organization, positively impacting millions of software developers and AI agents around the world who are building everything from open source to global enterprises.

We are looking for creative problem solvers and diverse thinkers, people who care about culture as well as customers and features. Big vision, a common purpose, passion for quality, curiosity, dedication, and investment in fun and collaboration are what lead to great results. More of the world's development data lives on GitHub than anywhere else. Helping developers navigate and understand that data is a core part of GitHub's mission, and an area with significant potential we have only begun to realize.

We have high aspirations for how we can help developers understand and navigate code, and for making collaboration more seamless. The foundation for these efforts is our purpose-built code search engine which powers lexical and semantic code search in GitHub's core search experience as well as GitHub's Copilot products.

The ideal candidate has strong experience with distributed systems, search at scale, reliability engineering, and/or generative AI application architectures, as well as the ability to work autonomously, learn quickly, and communicate and set technical direction. As a software engineer at GitHub, you will enhance the collaboration experience at GitHub by working closely with a community of engineers and designers with a distributed, diverse and passionate team delivering the services that millions of developers depend on.

In this role you will design, prototype, implement, ship and support highly performant and globally scalable code search technology with your team.

Responsibilities

  • Design, develop, test and ship high-quality technical solutions that scale across multiple GitHub services and become intimately familiar with the systems you build and take pride in writing maintainable code.
  • Support teams in producing extensible and maintainable code, ensuring integration with downstream dependencies and adherence to quality standards.
  • Help cultivate an environment where team members are empowered and demonstrate a strong sense of ownership and belonging.
  • Own and advocate for the health and quality of the systems that the team builds, including participating in on-call for first responder rotations and live incidents.
  • Design and implement APIs to facilitate seamless integration between software components.
  • Apply debugging tools and telemetry to verify assumptions, proactively resolve issues, and optimize code performance and maintainability.
  • Work with the team to understand technical constraints, and develop, communicate, and track against realistic plans to consistently ship products, features, and bug fixes.

Qualifications

Required Qualifications:

  • 9+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 8+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Bachelor's Degree in Computer Science or related field AND 7+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 3+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR equivalent experience.
  • Experience building or operating web-scale search, information retrieval, or context retrieval systems.
  • Expertise with systems programming languages — ideally Rust.
  • Experience designing or integrating AI/ML-powered features into production systems.

GitHub values

  • Customer-obsessed
  • Ship to learn
  • Growth mindset
  • Own the outcome
  • Better together
  • Diverse and inclusive

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). 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!).

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.

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.

Staff Software Engineer (ML/AI) - Remote employer: GitHub

GitHub is an exceptional employer, offering a remote-first work culture that prioritises flexibility and inclusivity. With competitive pay, generous learning opportunities, and a commitment to employee growth, GitHub fosters an environment where diverse thinkers can thrive and contribute to innovative AI-powered solutions that impact millions of developers worldwide.

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Contact Details:

GitHub Recruitment Team

We think you need these skills to ace Staff Software Engineer (ML/AI) - Remote

Software Engineering
Distributed Systems
Search at Scale
Reliability Engineering
Generative AI Application Architectures
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