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Machine Learning Engineer

Goliath Partners · · $250k

Actively hiring Posted 6 months ago

I’m working with a top-tier systematic trading group building out a new AI/ML initiative focused on LLM agents and internal automation. This is one of the few roles in industry where you get to apply frontier agentic workflows
directly
inside a high-performance research environment that actually ships to production, not demos.

They’re hiring an
ML Engineer
to:

  • Design and implement LLM-based agents that autonomously execute multi-step workflows for quant researchers & developers
  • Build and deploy RAG pipelines pulling context from both structured + unstructured internal data
  • Partner closely with QDs/QRs to identify high-ROI automation opportunities across research and data engineering
  • Contribute to internal ML frameworks, testing, CI/CD, and ML-driven research tooling
  • Own end-to-end Python/ML systems using vector stores, retrieval frameworks, and orchestration stacks (LangChain, LlamaIndex, etc.)

Why this is compelling:

  • Work on applied agentic AI where everything you build gets used immediately by researchers
  • Join a small, high-impact team with direct visibility across the organization
  • Access to real data, real infrastructure, and real problems — not synthetic benchmarks
  • Strong compensation with upside, plus long-term career growth inside a world-class trading environment

Total comp: 250k base, up to 800k TC

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Machine Learning Data Engineer Robotics Generative Ai
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