Machine Learning Research Engineer
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
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
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What This Job Offers
Job Type
Full-time
Education Level
Ph.D. or professional degree
