Senior Software Engineer, Machine Learning Infrastructure

March 16

🔄 Hybrid – Bay Area

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Logo of Kodiak

Kodiak

Building the world's safest driver.

201 - 500

Description

• Responsible for designing and implementing Kodiak’s infrastructure for training, evaluating, and deploying deep learning models in efficient Python and C++ code • Develop and optimize push-button training pipelines in distributed environments • Develop metrics to measure model, perception system, and overall self-driving performance • Build systems to track metrics over time and enable comparison of experiments • Develop systems for finding failure cases, visualizing predictions, and pinpointing areas for improvement • Create systems to track, segment, and select data to be used in training or reinforcement, including synthetic and machine-generated labels • Measure and optimize deep learning network and detection runtime performance using state of the art techniques • Enable continuous integration and deployment of model improvements • Collaborate closely with other experts in sensors, perception, prediction, planning, and systems engineering teams

Requirements

• Strong technical background. BS, MS or PhD with academic or industry experience in designing and implementing deep learning, ML, or data analytics infrastructure • Skilled in Python/C++ and strong problem-solving skills • Strong understanding of metrics, data analysis, and scientific evaluation • Bonus points for understanding the specific subtleties in measuring and evaluating the performance of a robot and its submodules • Ability to build and iterate quickly • Hands-on experience working with production machine learning pipelines • Great communicator with experience writing clear, concise, and detailed documentation

Benefits

• Competitive compensation package including equity and biannual bonuses • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits) • Flexible PTO and generous parental leave policies • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging • Long Term Disability, Short Term Disability, Life Insurance • Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health • Fidelity 401(k), Commuter, FSA, Dependent Care FSA, HSA • Various incentive programs (referral bonuses, patent bonuses, etc.)

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