Goliath Partners · 14 hours ago
Machine Learning Engineer
NYC Metro Area
Full-time
Hybrid
Entry, Mid Level
$250K/yr - $350K/yr
2+ years expGoliath Partners is a company focused on leveraging machine learning in financial markets, and they are seeking a Machine Learning Engineer. The role involves designing and building a deep learning library and infrastructure that supports the entire firm's research engine, collaborating with quantitative researchers and optimizing large training workflows.
Staffing & Recruiting
Hiring Manager
Liz Lahue
Responsibilities
Design, build, and evolve an internal deep learning library used firm-wide
Partner directly with quantitative researchers to translate research needs into reusable ML tooling
Work alongside HPC and systems experts to optimize large training workflows for speed and cost efficiency
Integrate the best of open-source ML tooling with sophisticated in-house infrastructure
Stay on top of cutting-edge advances in PyTorch, distributed training, CUDA optimization, and bring them into production internally
Qualification
Required
2+ years of ML engineering / research engineering experience
Strong Python plus CUDA and/or C++
Experience scaling distributed deep learning workflows (PyTorch or similar)
Experience building ML tooling, libraries, or infrastructure rather than just training models
Interest in high-performance systems and large-scale compute environments
Company
Goliath Partners
Driving innovative talent solutions within trading & financial technology that delivers specialized C++ professionals.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase