Machine Learning Research Engineer

Optiver • New York, NY

23h

About The Position

Optiver is seeking a Machine Learning Research Engineer to join their team, focusing on a pivotal AI initiative. This role offers the opportunity to have a significant impact across Machine Learning infrastructure, training, and inference challenges to advance their futures trading strategies.

Requirements

• PhD or equivalent industry experience in a field related to machine learning
• Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow
• Experience in programming in Python
• Experience in computationally intensive research on very large data sets

Nice To Haves

• Experience with JAX ecosystem (XLA, Flax, etc.)
• Experience in programming for GPUs or other accelerators (CUDA, Triton, Pallas, etc.)
• Contributions to open-source projects related to data science and machine learning
• Strong publication record at conferences like NeurIPS, ICML, etc.
• Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
• Experience with large-scale distributed training
• Experience in programming in C++

Responsibilities

• Conduct innovative research on deep learning for price forecasting
• Build scalable and robust training and inference pipelines for deep learning
• Dive into internals of open-source deep learning frameworks and enhance their functionality
• Collaborate closely with researchers and other engineers
• Develop an in-depth understanding of trading systems

Benefits

• Highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree