Optiver - Austin, TX
posted 5 months ago
Optiver is seeking a Machine Learning Performance Engineer to join our team, focusing on a pivotal AI initiative. This role offers the opportunity to have a significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies. As a tech-driven trading firm and leading global market maker, Optiver is committed to improving the market by injecting liquidity, providing accurate pricing, increasing transparency, and acting as a stabilizing force in various market conditions. The Austin office, located in ‘The Domain' neighborhood, serves as the firm's innovation nucleus, emphasizing quantitative research, software, and hardware engineering initiatives. With a strong focus on tech innovation, the office is a hub for machine learning, research infrastructure, and big data computing, all while being situated in a city known for its vibrant music, food, and art scenes, as well as numerous outdoor activities. In this role, you will be responsible for building scalable and robust training and inference pipelines for deep learning. You will dive into the internals of open-source deep learning frameworks and enhance their functionality, identify and eliminate performance bottlenecks, and collaborate closely with researchers and other engineers. Additionally, you will develop an in-depth understanding of trading systems, which is crucial for the success of our initiatives.