Machine Learning Engineer

About the Organization

- A global quantitative trading firm that combines deep research, cutting-edge technology, and a collaborative culture.

- We build most of our systems from the ground up, and innovation is at the core of everything we do.

- As a Machine Learning Engineer, you’ll play a critical role in shaping the future of AI at the firm—enabling research at scale, accelerating experimentation, and unlocking opportunities across the organization.

The Role

- A versatile ML Engineer to help build and optimize the core infrastructure that supports AI research.

- Works across the stack—from data processing and training efficiency to low-level GPU programming and performance tooling.

- Contributes to reliable, scalable, high-performance systems while enabling researchers to understand and improve their models.

- Ideal for someone comfortable navigating complex systems, collaborating across domains, and bringing a strong engineering mindset.

What You’ll Do

- Design and implement high-performance data pipelines for processing large-scale datasets with emphasis on reliability and reproducibility

- Apply state-of-the-art techniques to internal training runs to maximize hardware efficiency

- Implement custom GPU kernels

- Create observability and benchmarking tools to help researchers understand model and training performance

- Build and maintain secure sandboxed execution environments

What We’re Looking For

- Experience with data pipeline development and ETL processes

- Strong systems programming skills and performance optimization

- Strong software engineering skills in Python

- Experience writing and optimizing custom GPU kernels

- Experience with observability, benchmarking, or performance-focused infrastructure at scale

- Familiarity with AI/ML workloads

- Comfortable working in ambiguous, fast-evolving environments and collaborating across disciplines

Why Join Us

- Join a global quantitative trading firm that combines deep research, cutting-edge technology, and a collaborative culture.

- We build most of our systems from the ground up, and innovation is at the core of everything we do.

- As a Machine Learning Engineer, you’ll play a critical role in shaping the future of AI at the firm—enabling research at scale, accelerating experimentation, and unlocking opportunities across the organization.