Mid-level+ AI hiring · matching by shipped projectsCreate recruiter account →

Hire an MLOps engineer in San Francisco

MLOps engineer in San Francisco: matching on deployed ML pipelines and production monitoring — alternative to agencies and generic job boards.

5 matching full-time / mid-level+ listings · San Francisco

5 jobs

  • Logo Palantir
    ML Engineer — Foundry
    Palantir 4.4 · 262 reviews

    Production ML pipelines on Foundry for commercial enterprise AI deployments.

    MLPythonMLOpsEnterprise
    San Francisco, CAHybrid
    $165k – $225k / year
    Easy applyFull-time12 applicants
    Posted 3 days agoQuick preview
  • Logo Stripe
    ML Engineer — Fraud
    Stripe 4.5 · 200 reviews

    Train and deploy models that block fraud at payment scale with low false positives.

    PythonMLReal-timeFeature stores
    San Francisco, CAHybrid
    $165k – $225k / year
    Easy applyFull-time27 applicants
    Posted 6 days agoQuick preview
  • Logo Scale AI
    LLM Evaluation Engineer
    Scale AI 4.5 · 200 reviews

    Design benchmarks and human-in-the-loop eval pipelines for frontier model customers.

    EvalsPythonLLMRLHF
    San Francisco, CAHybrid
    $150k – $205k / year
    Easy applyFull-time24 applicants
    Posted 6 days agoQuick preview
  • Logo OpenAI
    ML Infrastructure Engineer
    OpenAI 4.5 · 200 reviews

    Own GPU clusters, scheduling, and observability for large-scale training and inference.

    KubernetesPythonGPUMLOps
    San Francisco, CAHybrid
    $170k – $240k / year
    Easy applyFull-time14 applicants
    Posted 6 days agoQuick preview
  • Logo OpenAI
    Senior LLM Engineer
    OpenAI 4.5 · 200 reviews

    Build and scale production LLM systems — training interfaces, inference, and eval pipelines for frontier models.

    PythonPyTorchLLMRAG
    San Francisco, CAHybrid
    $185k – $260k / year
    UrgentEasy applyFull-time13 applicants
    Posted 6 days agoQuick preview

Other AI roles

Hire a MLOps engineer in San Francisco — match on shipped work

Generic résumés do not prove production ability. Ganloss evaluates mlops engineers on deployed ML pipelines and production monitoring — not keyword-stuffed skill lists.

Filter by stack, review GitHub, papers, or technical cases, then contact profiles with demonstrated level in San Francisco. $36/month — no hire commission.

Why Ganloss vs a traditional agency?

Agencies charge 15–25% of annual salary and often recycle the same LinkedIn profiles. Ganloss combines a niche AI job board, tech talent pool, and project-based matching — hire faster with fewer mismatches.

Publish in about five minutes with Google for Jobs indexing and reach active candidates in the US AI market.

FAQ

How does Ganloss evaluate a hire an mlops engineer?
GitHub projects, open source, papers, Kaggle, or Ganloss technical tests — not just job titles. You see proof before the first interview.
How many hire an mlops engineer jobs in San Francisco on Ganloss?
5 matching full-time/mid-level listings. Publish yours to capture active applicants.
What does it cost recruiters?
$36/month all-in: unlimited posts, talent pool, candidate contact. No hire commission.
Can I target senior profiles only?
Yes — filter by experience, stack, and shipped projects. Ganloss /careers/* pages focus on mid and senior profiles, not internships or apprenticeships.