Machine Learning Research Engineer

Who you are

You have a PhD or equivalent industry experience in a field related to machine learning — your background equips you with the knowledge to tackle complex challenges in AI and trading systems. You are familiar with deep learning frameworks and have a strong understanding of their internals, allowing you to enhance their functionality effectively. Your experience includes conducting innovative research and applying it to real-world scenarios, particularly in financial markets. You thrive in collaborative environments, working closely with researchers and engineers to drive impactful projects. You are motivated by continuous improvement and are eager to contribute to a culture of excellence.

What you'll do

As a Machine Learning Research Engineer at Optiver, you will conduct innovative research on deep learning techniques for price forecasting — your work will directly influence the effectiveness of our futures trading strategies. You will build scalable and robust training and inference pipelines for deep learning, ensuring that our systems can handle the demands of high-frequency trading. You will dive into the internals of open-source deep learning frameworks, enhancing their functionality to better serve our needs. Collaboration is key in this role; you will work closely with other researchers and engineers to develop a deep understanding of our trading systems and how machine learning can optimize them. Your contributions will help shape the future of trading at Optiver, making a significant impact on our operations.

What we offer

Joining Optiver means becoming part of a culture that values collaboration and excellence — you will be surrounded by curious thinkers and creative problem-solvers. We offer a highly competitive compensation package, including a global profit-sharing pool and performance-based bonuses. You will have access to comprehensive health, mental, dental, vision, disability, and life coverage, along with a 401(k) match up to 50%. Enjoy 25 paid vacation days alongside market holidays and extensive office perks, including meals and regular social events. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.