Senior ML Engineer — DevSecOps AI | GitLab

Zum Hauptinhalt springen

Ganloss

Sprache

PostenJobs ausschreiben

Ganloss

Sprache

PostenJobs ausschreiben

Senior ML Engineer — DevSecOps AI | GitLab | Remote US · Ganloss

Über die Rolle

Was das Team sucht und wie die Position passt.

GitLab is hiring a Senior Senior ML Engineer — DevSecOps intelligence (Remote US) on the AI-powered DevSecOps team (Remote · Remote, United States). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

GitLab is one of the world's largest all-remote software companies — the DevSecOps platform where millions of developers plan, build, secure, and ship code.

Senior ML Engineer (Remote US): embed AI across the DevSecOps lifecycle — code suggestions, security findings, CI/CD intelligence, and agent workflows grounded in repository context.

GitLab's public handbook culture means transparent priorities, async communication, and measurable outcomes across time zones.

About GitLab

Remote-only company with team members across the US and globally; no headquarters mandate.
AI features must meet enterprise security, self-managed, and air-gapped deployment needs.
Strong open-core heritage; many models and eval pipelines run on customer-controlled infra.

What you will do

Train and serve models for code understanding, vulnerability triage, and merge-request assistance.
Build RAG over docs, issues, and repos with permission-aware retrieval.
Own offline evals (quality, latency, cost) and staged feature flags for millions of users.
Collaborate with security on prompt injection defenses and data minimization.

Stack & environment

Python, PyTorch, LangChain, Ruby/Go service integration, Kubernetes at scale.
Fully remote US — home office stipend and flexible hours across states.

What we look for

Production ML/LLM experience; developer tools or security domains a plus.
Strong written communication for async remote work.
Authorized to work in the United States.

Senior ML Engineer — DevSecOps intelligence (Remote US)

KI-Talente, die auch passen könnten

Ähnliche offene Stellen

Senior AI Developer — data governance copilots

Senior AI Developer — clinical copilots (Remote France)

Senior AI Developer — marketplace intelligence

Senior AI Developer — form intelligence & copilots

Senior AI Developer — telco intelligence