Machine Learning Research Engineer at optiverus

Department: SoftwareEducation: education_optional

Compensation

$200,000/yr

Location: New York, New York
Type: Full-time
Level: senior
Posted: Feb 5, 2026

Description

Optiver is hiring a Machine Learning Research Engineer to advance futures trading strategies through deep-learning research, scalable training and inference pipelines, open-source framework development, and trading-system analysis. The role requires a PhD or equivalent industry experience, expertise in PyTorch, JAX, or TensorFlow, Python programming, and experience with computationally intensive research on large datasets. The position offers a $200,000 USD base salary, performance-based bonus eligibility, profit-sharing, retirement matching, and comprehensive health, dental, vision, disability, and life coverage.

Required Skills

Deep learning
PyTorch
JAX
TensorFlow
Python
Training pipelines
Inference pipelines
Open-source frameworks
Trading systems
Distributed training
GPU programming

Additional Information

Minimum Education: PhD or equivalent industry experience in a field related to machine learning
Required Previous Experiences: Python programming
Computationally intensive research on very large datasets
Building deep-learning models with PyTorch, JAX, or TensorFlow
Preferred Qualifications: JAX ecosystem experience
GPU or accelerator programming
Open-source contributions
Strong conference publication record
Deep-learning framework internals
Large-scale distributed training
C++ programming
Translation Company Name: Optiver