Machine Learning Research Engineer

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.

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