August 28
🏢 In-office - Bay Area
• Leverage a variety of cutting-edge machine learning algorithms including end-to-end imitation learning, reinforcement learning, and Large Language Models (LLM) to propel the development of humanoid robots. • Develop algorithms that empower robots to learn and evolve through dynamic interactions with the physical world. • Design machine learning models, refine training and optimization processes, orchestrate deployment strategies, while contributing to collaborative efforts across teams. • Venture into uncharted engineering and technology territories, contribute to direction setting and decision-making processes.
• Hold a Master’s degree or higher in Computer Science or a related field. Candidates possessing a strong background in domains such as computer vision, natural language processing, or speech recognition are highly sought after. • Have a robust understanding of foundational machine learning principles and their applications. • Be proficient in programming languages such as Python or C++, coupled with extensive experience in deep learning frameworks such as Pytorch and TensorFlow. • Be humble, open, and demonstrate a commitment to continuous learning and teamwork.
• 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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