ML Research Engineer: Scale & Platform Engineer

Iceberg; New York (NY); On-site; USD 200,000 - 300,000; Full time

Job summary

Iceberg in New York is seeking a Machine Learning Research Engineer at the intersection of ML research, software engineering and infrastructure. You will stress-test the ML platform, run new models at scale, identify bottlenecks and help shape what gets built next.

You'll work with Python, PyTorch, distributed compute, GPUs, Ray and AI/agentic workflows to build tools that let researchers move from idea to experiment quickly.

Qualifications

• Hands-on experience with machine learning at scale
• Strong software engineering fundamentals
• Experience with distributed compute and GPUs
• Proficiency in Python and PyTorch

Responsibilities

• Stress-test the ML platform and run models at scale
• Identify bottlenecks and help shape future builds
• Build tools to enable researchers to move from idea to experiment
• Experience with quant trading or time-series data is a plus

Skills

Software engineering fundamentals

Machine learning at scale

Distributed systems

Python

PyTorch

GPU computing

Ray

Quant trading / Time-series experience

Tools

Ray

Job description

Iceberg in New York is seeking a Machine Learning Research Engineer at the intersection of ML research, software engineering and infrastructure. You will stress-test the ML platform, run new models at scale, identify bottlenecks and help shape what gets built next.

You'll work with Python, PyTorch, distributed compute, GPUs, Ray and AI/agentic workflows to build tools that let researchers move from idea to experiment quickly.