# ML & Agentic Systems Engineer [IC4]

Hiring organization: [Sourcegraph](https://career.thegoodapps.co/organizations/sourcegraph)

Canonical page: https://career.thegoodapps.co/jobs/fa584472-5a48-4dc3-8249-3b184bb7d9a1

Listed on Sourcegraph's own careers site. Applications go to them directly.

- Seniority: Staff
- Location: Remote
- Remote: yes
- Salary: 88000 – 176000 USD per year

## Summary

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._

## Skills named

Docker, Embeddings, Fine-tuning, Go, GraphQL, Machine Learning, Model Training, Prompt Engineering, TypeScript

## 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

Apply on Sourcegraph's site: https://job-boards.greenhouse.io/sourcegraph91/jobs/6185008004