March 20
🏢 In-office - Bay Area
• Our team is growing and we are looking for experienced machine learning researchers and engineers to join us. In this role, you will apply your expertise in machine learning to solve an array of challenges in Nuro's autonomy stack — detection with sensor fusion, tracking, fine-grained classification, human intent understanding, to name a few. • You will be involved in all stages of problem-solving, including initial proof of concept, model iteration, onboard deployment, and on-road performance monitoring and troubleshooting. • You will develop techniques and/or processes that allow us to train models that are able to utilize the massive scale of data but still keep the model onboard latency in check so that it is deployable. • You will have the opportunity to take a novel problem, assume the ownership, and just go deep on it.
• Recent experience in applying state-of-the-art deep learning techniques to solving autonomous driving problems, such as modern object detection models, sensor fusion, and multiple task learning. • Strong ML fundamentals and has demonstrated experience building and expanding model architectures • Strong SWE fundamentals and has demonstrated SWE experience in both high and low-level languages (Python and C++) • Bonus: Experience in deploying models in real-time environments. Optimizing architectures to explore the accuracy vs. compute tradeoff • Bonus: Experience working with productizing ML models and the infrastructure supporting model development (data, large-scale training, eval, etc)
• Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $167,200.00 and $250,800.00/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
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