Staff Machine Learning Engineer

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/ $190000 - $225000 annum

INFO

Salary
SALARY:

$190000 - $225000

Location

LOCATION

Job Type
JOB TYPE

Permanent

Staff Machine Learning Engineer

Full Remote - US Based

$190,000 - $225,000 Base + Equity

Fin-Tech Industry

About the Role

Join a growing fintech platform powering the next generation of financial products. This role is ideal for hands-on, end-to-end MLE's who thrive at the intersection of R&D and production. The team values ownership, autonomy, and a pragmatic, research-driven approach.

Key Responsibilities

  • Design, build, and deploy end-to-end machine learning systems from research through to production at scale.
  • Take a lead role pushing state-of-the-art research and models into robust production pipelines.
  • Drive and own fine-tuning of large models, especially LLMs, and develop solid inference frameworks (such as vLLM).
  • Architect and optimize Retrieval-Augmented Generation (RAG) workflows, including reranking, hybrid search, and knowledge graph integration.
  • Create and iterate on agentic workflows to make ML products more adaptive and autonomous.
  • Apply strong Reinforcement Learning (e.g., PPO, DPO, GRPO) to real-world fintech use cases.
  • Write and maintain high-quality, production-ready Python code (no specific libraries required, flexibility valued).

Requirements

  • Proven track record with end-to-end ML systems in production settings.
  • Expert-level experience conducting and operationalizing advanced model fine-tuning and LLMs.
  • Deep expertise in RAG systems design, search/retrieval, and graph-based architectures.
  • Applied knowledge of Reinforcement Learning techniques (PPO, DPO, GRPO).
  • Hands-on experience building agentic or workflow-based ML platforms.
  • Strong proficiency in Python
  • Experience with LLMs, neural networks, and inference frameworks; vLLM desirable.
  • Background in startups or fintech preferred.
  • Excellent communication, low-ego, and proactive ownership in team settings.

CONTACT

Meredith Markowitz
She/Her/Hers

Senior Internal Recruiter

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