Machine Learning Engineer
Goliath PartnersAbout the role
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
If this sounds interesting, please apply and we will reach out!
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
Qualifications
- Experience in ML research or systems backgrounds
- Proficiency in Python and C++
Skills mentioned
About Goliath Partners
Driving innovative talent solutions within trading & financial technology that delivers specialized C++ professionals.