Machine Learning Engineer

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

Job summary

Goliath-Partners is seeking an ML/Research Engineer to join a leading quantitative trading firm at the intersection of ML, research, and high-performance engineering. You’ll build and scale ML models used in live production systems and collaborate to turn ideas into real-time implementations.

Open to ML research and systems backgrounds, with Python/C++ heavy workloads. Compensation is up to 500k base plus substantial bonus potential in a dynamic, fast-paced environment in New York.

Qualifications

• Build and productionize ML models for live trading systems.
• Collaborate to translate ideas into real-time implementations.
• Optimize end-to-end latency from modeling to execution.

Responsibilities

• 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

Skills

Python

C++

Machine learning

Tools

C++

Linux

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 Engineeryou’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