Machine Learning Performance Engineer
$200kOptiver
Optiver is a seeking a Machine Learning Performance 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 doAs a Machine Learning Performance Engineer, your key responsibilities include:Building scalable and robust training and inference pipelines for deep learningDiving into internals of open-source deep learning frameworks and enhance their functionalityIdentifying and eliminate performance bottlenecksCollaborating closely with researchers and other engineersDeveloping an in-depth understanding of trading systemsWhat you’ll getYou’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 countriesA highly competitive compensation packageGlobal profit-sharing pool and performance-based bonus structure401(k) match up to 50%Comprehensive health, mental, dental, vision, disability, and life coverage25 paid vacation days alongside market holidaysExtensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and moreWho you areStrong knowledge of low-level GPU programming with CUDA, including Tensor Cores, cooperative groups, graphs, and warp-level intrinsicsExpertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.Deep understanding of computer architectureExperience in C++ and PythonNice to haveExperience with JAX ecosystem (XLA, Flax, etc.)Familiarity withGPU libraries and tools such as Triton, CUB, cuDNN, and cuBLASLinux system programming experienceExperience with large-scale distributed trainingContributions to open-source projects related to data science and machine learningWho we areAt 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 is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.Base Salary Range$200,000—$200,000 USD
$190k - $260k
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$180k - $220k
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Machine Learning Engineer Location: New York, NY (Hybrid) About the Company Our client is a high-growth AI company building advanced machine... ...and maintain robust evaluation frameworks to ensure model performance Optimize models through feature engineering and algorithm...Performance
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