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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.
- Experience with large-scale distributed training
- Experience in programming in C++
Who we are
At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.
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 position will also be eligible for a discretionary bonus and Optiver’s benefits package with the benefits listed above.
Skills Required
- PhD or equivalent industry experience in a machine-learning-related field
- Expertise building deep-learning models with PyTorch, JAX, or TensorFlow
- Programming experience in Python
- Experience conducting computationally intensive research on very large datasets
- Experience with the JAX ecosystem, including XLA or Flax
- Programming experience with GPUs or other accelerators, including CUDA, Triton, or Pallas
- Contributions to open-source data science or machine-learning projects
- Strong publication record at conferences such as NeurIPS or ICML
- Expertise in deep-learning framework internals, such as PyTorch, JAX, or TensorFlow
- Experience with large-scale distributed training
- Experience programming in C++
Optiver Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Optiver and has not been reviewed or approved by Optiver.
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Career-Linked Recognition & Rewards — Pay is considered highly competitive in trading, quantitative, and engineering paths, with performance-linked bonuses materially elevating total earnings for strong contributors. High performers are described as seeing outsized upside when firm and team results are strong.
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Healthcare Strength — Health coverage is depicted as comprehensive, including medical, dental, vision, disability and life insurance, alongside HSA/FSA options and mental-health support. Some locations note unlimited therapy access through a partner platform.
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Leave & Time Off Breadth — U.S. roles are often described as offering 25 days of paid vacation plus market holidays, alongside generous parental leave. This breadth of time off is highlighted as helping to offset a high-intensity environment.
Optiver Insights
What We Do
Optiver’s story began over 30 years ago, when we started business as a single trader on the floor of Amsterdam’s options exchange. Today, we are at the forefront of trading and technology as a leading global electronic market maker, focused on pricing, execution and risk management.
Why Work With Us
People at Optiver love challenges, welcome collaboration, and strive to be better tomorrow than they are today. Improving the market is an extraordinary challenge that requires a carefully crafted approach. Optiver provides a collaborative working environment to tackle these challenges. In fact, it is this way of working that sets us apart.
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