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The Lakes at Jefferson

Machine Learning Engineer- PhD Program (2024 Start – Shanghai)

The Lakes at Jefferson, Chicago, Illinois, United States, 60290


Join Optiver to accelerate your growth in the most fascinating and dynamic industry.As a Machine Learning Engineer, you’ll leverage AI and deep learning to thrive in a fast-paced, cutting-edge environment, applying your advanced degree in a highly impactful role. You will use your brain to come up with cutting-edge ideas, making innovations that change the world as soon as you implement them – often as quick as the next day!We believe the best ideas come from working together, so you'll be solving problems as part of a team from day one. This means you'll get instant feedback on all of your lightbulb moments, as well as support and guidance to be at your best.Turn your passion for machine learning into a rewarding career with Optiver. Apply now.WHO WE ARE:Optiver is a global market maker founded in Amsterdam, with offices in multiple cities worldwide. Established in 1986, we are a leading liquidity provider, committed to improving the market through competitive pricing, execution, and risk management. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products.Since its establishment in 2012, our Shanghai office is a rapidly growing participant in the Chinese markets. Our vision is to become the trusted partner in the development of Chinese financial markets.WHAT YOU’LL WORK ON:We are seeking an exceptional machine learning engineer with a PhD degree to join the China research platform team. The ideal candidate will have an advanced understanding of neural networks and related machine learning technologies, with experience in implementing and training complex deep learning models. As part of your role, you’ll get to:Leverage AI and deep learning to thrive in a fast-paced, cutting-edge environment.Collaborate closely with researchers and traders on new experiments, capabilities, and data sources.Design and implement improvements to optimise researcher productivity and quality.Blend your own development expertise with the best open-source frameworks and tools.Leverage cloud infrastructure to solve substantial challenges in computational and data scale.Drive experimental rigour through repeatable processes on assured data.WHAT YOU'LL NEED:PhD degree in Computer Science, Mathematics, Statistics, or a related field, with a strong focus on machine learning or deep learning.Proven experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, etc.Deep understanding of machine learning and deep learning technologies, including the design and implementation of neural networks.Strong programming skills in Python, familiar with data engineering tools and principles.Experience with GPUs and other hardware accelerators for deep learning.Excellent problem-solving skills, and the ability to work independently and in teams.As an intentionally flat organisation, we believe that great ideas and impact can come from everyone. We are passionate about empowering individuals and creating diverse teams that thrive.Our commitment to diversity and inclusion is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds.PRIVACY DISCLAIMERPersonal information protection is of utmost importance to Optiver. Before you provide any personal information to us, we strongly urge you to read Optiver China Privacy Notice for acknowledging how we collect and process your personal information.

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