Machine Learning Research Engineer
Posted 5 Feb 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
No salary listed for this role.
Field of studyMachine learning (or related)
Study levelDoctorate
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
As a Machine Learning Research Engineer, your key responsibilities include:
- Conducting innovative research on deep learning for price forecasting
- Building scalable and robust training and inference pipelines for deep learning
- Diving into internals of open-source deep learning frameworks and enhance their functionality
- Collaborating closely with researchers and other engineers
- Developing 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 you are
- 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 have
- 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.