Senior ML Engineer

7 days ago

New York, New York, United States Alldus Full time $200,000 - $250,000 per year

We're looking for our first
Machine Learning Engineer
to join a large Private Equity firm. We're looking for someone who's capable of leading in the face of ambiguity. You'll shape product direction, build foundational infrastructure, and work shoulder-to-shoulder with senior executives.

What You'll Be Doing:

You'll be driving end-to-end ML initiatives across internal tools and client-facing POCs. Projects include:

  • Building AI-powered tools for internal teams (deals, investor relations, legal)
  • Prototyping LLM applications for automating tasks like NDA analysis, investor Q&A, and document search
  • Handling everything from cloud infrastructure setup and GPU access to model development and simple front-end integrations
  • Designing and implementing RAG pipelines, performing model fine-tuning, and building search/information extraction systems

What We're Looking For:

Must-Haves:

  • 3–5 years of experience in ML engineering, ideally with production experience
  • Strong Python and ML ecosystem skills (PyTorch, Hugging Face, LangChain, etc.)
  • Experience working with LLMs or NLP-heavy projects (e.g., RAG, entity extraction, summarization)
  • Ability to work independently in an ambiguous, fast-moving startup environment
  • Comfortable with full-stack-ish tasks (e.g., integrating models into simple UIs)

Nice-to-Haves:

  • Master's degree in CS, ML, or a related field
  • Experience with computer vision or multi-modal LLMs
  • Familiarity with finance workflows or legal tech
  • Experience deploying models to production in cloud or GPU-accelerated environments

Why This Role?

  • True greenfield opportunity — you're the first engineer
  • High visibility and executive exposure
  • Culture that values pragmatism, velocity, and impact
  • Opportunity to shape technical vision, not just execute on it

Logistics:

  • Location:
    Onsite in NYC (4 days/week)

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