Machine Learning Engineer Intern
Optiver is a global proprietary trading firm and market maker, including an active 24/7 Digital Assets desk.
Maintainer signals as of 8/14/2026
About Optiver
Optiver (optiver.com) is an Amsterdam-headquartered global proprietary trading firm and options market maker with an active digital-assets business (24/7 crypto options/spot market making, hiring crypto traders).
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You apply modern machine learning methodologies to quantitative trading problems, help build compute platforms and libraries for large-scale model training and simulation, manage projects end to end, contribute to production systems, solve trading and IT problems, and improve training efficiency through profiling, benchmarking and systematic analysis.
Requirements
- Graduating in 2028 or later
- Foundations in machine learning
- Knowledge of optimization and deep learning concepts
- Hands-on experience with PyTorch, JAX or similar frameworks
- Interest in scalable and reproducible machine learning pipelines
- Knowledge of data preprocessing, training, evaluation and experiment tracking
- Interest in the trading or quantitative finance industry
- Ability to identify and analyse compute and performance bottlenecks is optional
- Experience with distributed training or GPU acceleration is a plus
- Familiarity with MLflow, Weights & Biases or workflow orchestration is a plus
Responsibilities
- Apply machine learning methodologies to quantitative trading problems
- Build compute platforms and libraries for large-scale model training and simulation
- Manage projects end to end
- Work with complex codebases
- Contribute to production systems
- Solve trading and IT problems
- Identify compute and performance bottlenecks
- Use profiling and benchmarking to improve training efficiency
Benefits
- Flights and accommodation covered for the duration of the internship
- Gym membership
- Weekly in-house chair massages
- Daily breakfast and lunch
- In-house barista
- Regular social events
