Machine Learning Engineer

New York | $200k–$300k + Equity

We’re partnered with one of NYC’s fastest-growing financial tech firms, backed by industry leading investors and built by a world-class engineering team. They’re looking for a mathematically strong ML Engineer to join their platform team and help shape the future of their cutting-edge ML infrastructure.

This is not your typical ML role. The team thrives in a high-velocity environment focused on rapid iteration, elegant design, and real-world impact.

You’ll work on scalable training and inference systems, clean APIs, and robust research tooling, while pushing the boundaries of what’s possible with LLMs, agentic workflows, and applied AI.

Finance experience is not required, curiosity and problem-solving ability are.

You’ll bring:

Experience building scalable ML/AI infrastructure, from prototype to production
Deep ML knowledge: neural networks, ensemble methods, optimization, etc.
Strong mathematical grounding in optimization, regularization, and linear algebra
Experience with LLMs, Retrieval-Augmented Generation (RAG), and agentic systems
Proven ability to write clean, reproducible research code
Expertise in PyTorch (or JAX, TensorFlow, etc.)
A mindset for invention, with a bias toward elegant, efficient systems

This is a rare chance to work on impactful systems with a team that values deep expertise, experimentation, and speed.

If you're ready for something truly different, let’s talk, confidentially.

Fudo Partners

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Machine Learning Engineer