Machine Learning Researcher
Evolve Group
GREENFIELD AI LAB - Machine Learning Research Engineer
NYC/Chicago · Quantitative Trading · Full-time
Greenfield AI initiative at a globally-respected trading firm. You'll work directly on systems that move markets. Not demos, not internal tools.
This is a rare chance to work at the intersection of research and real-world impact. The firm generates over $1bn in annual profits. The infra, the compute, and the talent to match are all here.
What you'll work on
- Deep learning for price forecasting. Novel research on signals that matter at the speed of markets.
- Scalable training and inference pipelines built for reliability at production scale
- Framework internals. Go deep into PyTorch, JAX, and TensorFlow to push beyond what's out of the box.
- Trading systems. Develop a genuine understanding of how futures markets operate, not just the ML layer on top.
Who fits
- PhD (or equivalent experience) in machine learning or a related field
- Strong hands-on experience building deep learning models in PyTorch, JAX, or TensorFlow
- Experience working with large-scale, computationally intensive datasets
Bonus points
JAX ecosystem (XLA, Flax) · GPU programming (CUDA, Triton, Pallas) · Distributed training at scale · NeurIPS / ICML publications · Open-source contributions · C++
Vacancy posted 3 days ago
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