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Senior Machine Learning Engineer

Senior Machine Learning Engineer

HarnhamSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Base pay range

$180,000.00 / yr - $220,000.00 / yr

Location : Remote (U.S. based)

Experience Level : Staff ML : 7+ years

Employment Type : Full-time

About the Role

Join a fast‑paced startup environment with 10+ independent product lines, each solving unique financial use cases. Engineering teams are lean and focused on top talent—not mass hiring. We prioritize autonomy, ownership, and mission alignment.

You’ll primarily contribute to a flagship product managed by a dedicated product lead, with strategic oversight from a senior leader across all product lines. Cross‑team collaboration is encouraged, and engineers are empowered to build and ship with speed.

What You’ll Do

As a Staff ML Engineer, you’ll be a key technical contributor driving the development of GenAI‑powered products. You’ll own the full lifecycle of ML systems—from research to production—and help shape the future of intelligent financial tools.

Your responsibilities will include :

  • Designing and deploying RAG (Retrieval‑Augmented Generation) pipelines in production.
  • Building multi‑agent orchestration systems and integrating vector databases.
  • Applying Reinforcement Learning to optimize model behavior.
  • Collaborating with product and engineering teams to deliver high‑impact features.
  • Communicating architecture decisions and trade‑offs clearly across teams.

What We’re Looking For

Must‑Have Skills :

  • Deep experience in GenAI , not just traditional ML.
  • Strong expertise in LLM fine‑tuning , especially RLFT (PPO / DPO) .
  • Hands‑on experience with RAG architectures and vector databases .
  • Proven ability to build ML products from scratch and take them to production.
  • Experience with multi‑agent orchestration .
  • Strong communication skills—able to articulate technical decisions and best practices.
  • Nice‑to‑Haves :

  • Experience building customer‑facing copilots or agentic systems .
  • Familiarity with knowledge graphs .
  • Prior work in startup environments or high‑performing tech companies.
  • Experience with chatbots , especially external / client‑facing.
  • Culture Fit

  • You thrive in fast‑paced, high‑ownership environments.
  • You’re a product‑minded builder, not a pure researcher.
  • You value autonomy and mission alignment.
  • Why Join Us?

  • Work on cutting‑edge GenAI applications in fintech.
  • Collaborate with top‑tier talent in a lean, high‑impact team.
  • Influence product direction and architecture.
  • Be part of a company that values innovation, speed, and ownership.
  • Benefits

  • Medical insurance
  • Vision insurance
  • 401(k)
  • Seniority Level

    Director

    Job Function

    Business Development, Information Technology, and Management

    Industries

    Technology, Information and Media, Financial Services, and Banking

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