Machine Learning Engineer

Goliath Partners; New York (NY); On-site; USD 450,000 - 1,000,000; Full time

Job summary

Goliath Partners in New York is seeking an ML/Research Engineer to join a fast-moving, greenfield AI buildout across trading, ML research and high-performance engineering.

You will build and scale ML models used in live production, collaborate to turn ideas into real-time implementations, and optimize the full stack from modeling to infrastructure to low-latency execution. Python/C++ heavy experience preferred.

Qualifications

• Experience building ML models for live production systems.
• Strong knowledge of Python and C++.
• Background in ML research or high-performance systems.

Responsibilities

• Build and scale machine learning models used in live production systems.
• Collaborate with colleagues to turn ideas into performant, real-time implementations.
• Optimize systems end-to-end, from modeling to infrastructure to low-latency execution.

Skills

Python

C++

Machine Learning

Real-time systems

Tools

None

Job description

I’m partnered with a leading quantitative trading firm that’s building some of the fastest, most sophisticated systems in the world, operating at the intersection of machine learning, research, and high-performance engineering.

You’ll be part of a high-ownership, greenfield AI buildout shaping how AI is applied to trading

As a ML/Research Engineer you’d:

• Build and scale machine learning models used in live production systems
• Work closely with colleagues to turn ideas into performant, real-time implementations
• Optimize systems end-to-end, from modeling to infrastructure to low‑latency execution

Open to candidates from both ML research + systems backgrounds (Python/C++ heavy).

Compensation: up to 500k on the base + bonus to the millions