[Hiring] ML & Agentic Systems Engineer @Sourcegraph

Role Description

Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer:

• Deep Search, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases
• Query Assist, turning natural language queries into Sourcegraph query syntax
• Smart Hovers, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day

As the staff ML and agent engineer on Code Understanding, you'll be the technical owner of it: setting the team's direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.

This is a staff-level role: we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team.

Concretely, you'll own work like:

• Agentic systems: Design and harden the multi-step, tool-using agent loops behind current and new agentic experiences.
• Pragmatic use of evaluations: Bring judgment about where evaluations earn their keep.
• Models: selection, upgrading, and training.
• Retrieval and context engineering: Push on how we ground models in a customer's code.
• Cost and latency: Treat cost and latency as product features.

You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management.

Qualifications

• Staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems.
• Experience owning a production model lifecycle.
• Experience designing multi-step agentic systems.
• Strong evaluation judgment.
• Ability to treat cost and latency as product constraints.
• Experience operating autonomously on ambiguous problems.
• Ability to contribute beyond your domain.
• Experience up-leveling the people around you.
• Customer and product-driven mindset.
• Pragmatic approach to shipping products.
• Strong software engineering skills.

Requirements

• Fluency with agentic coding tools.
• Comfortable in an async-first, multi-service, fast-paced remote environment.

Benefits

• Above-market salaries.
• Meaningful equity.
• Generous perks & benefits.

Interview Process

Below is the interview process you can expect for this role:

• 👋 Introduction Stage
  • Recruiter Screen [30m]
  • Hiring Manager Screen / Resume Deep Dive [45m]
• 🧑‍💻 Team Interview Stage
  • Technical Interview [60m]
  • Technical Interview [60m]
  • Cross-functional team collaboration / Values [60m]
• 🎉 Final Interview Stage
  • Leadership [30m]

We check references and conduct your background check. You are welcome to request additional conversations with anyone you would like to meet during the interview process.