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$88,000 – $176,000
Listed on Sourcegraph’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A staff-level machine learning engineer who owns the design and operation of multi-step AI agent systems, evaluation frameworks, and model selection decisions that power code-understanding features. The role suits experienced ML engineers comfortable shipping production systems who can set technical direction for a team and mentors others in agent engineering practices.
Our summary, not Sourcegraph’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Personally owned a production model lifecycle from dataset construction through evaluation and rollout
- Designed and hardened multi-step agentic systems with attention to reliability, observability, and cost
- Built representative datasets and meaningful baselines with sound evaluation judgment
- Treated cost and latency as product constraints in ML systems
- Operated autonomously on ambiguous technical problems end-to-end
- Shipped production software services
- Fluent with agentic coding tools and understand every line submitted
- Comfortable in async-first, remote, multi-service environments
Nice to have
- Shipped an LLM-powered or agentic developer-facing product
- Fine-tuned, distilled, or trained models for production cost, latency, or quality targets
- Experience with retrieval, ranking, embeddings, or search relevance
- Worked directly with enterprise customers translating needs into products
- Experience mentoring engineers and raising team fluency in agent engineering