Machine Learning Research Engineer

Optiver • New York, NY

15d

About The Position

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies. What you'll do: 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 What you’ll get: You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets. In addition, you’ll receive: The opportunity to work alongside best-in-class professionals from over 40 different countries A 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 Who we are: Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. Below is the expected base salary for this position. This is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.

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

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A 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: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees