Staff Planning Machine Learning Engineer
April 16
🏢 In-office - Bay Area
Description
• Research and develop algorithms for deep-learning-based methods for prediction and planning. • Design efficient model architectures that can run in real-time on the computing platform of our vehicles. • Develop offline data-driven ML infrastructure for fast adaptation of the planning ML models. • Deliver on target planning SW and closely work with the perception team to achieve the most intelligent autonomous driving systems. • Work with massive field-testing data to continuously improve autonomous driving technologies. • Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data. • Partnering with system software engineering specialists to ship industrial strength ML models. • Communicating and collaborating with multi-functional teams.
Requirements
• MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience • Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics • 3 - 5 years + of experience working with DL frameworks such as PyTorch, Tensorflow • Strong Python programming experience with software design skills • Solid understanding of data structures, algorithms, code optimization and large-scale data processing • Excellent problem-solving skills
Benefits
• A fun, supportive and engaging environment • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving • Opportunity to work on cutting edge technologies with the top talent in the field • Competitive compensation package • Snacks, lunches and fun activities
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