
Transport • Artificial Intelligence
Serve Robotics is an innovative company focused on revolutionizing the delivery industry with its autonomous delivery robots. The company aims to make delivery services more affordable, sustainable, and convenient by using self-driving robots instead of traditional two-ton vehicles for small deliveries like burritos. Through a commercial deal with Uber, Serve Robotics plans to deploy up to 2,000 robots, marking a significant advancement in the autonomous delivery sector.
August 8
🇺🇸 United States – Remote
💵 $175k - $205k / year
⏰ Full Time
🟠 Senior
🧬 Research Scientist
🦅 H1B Visa Sponsor

Transport • Artificial Intelligence
Serve Robotics is an innovative company focused on revolutionizing the delivery industry with its autonomous delivery robots. The company aims to make delivery services more affordable, sustainable, and convenient by using self-driving robots instead of traditional two-ton vehicles for small deliveries like burritos. Through a commercial deal with Uber, Serve Robotics plans to deploy up to 2,000 robots, marking a significant advancement in the autonomous delivery sector.
• At Serve Robotics, we’re reimagining how things move in cities. • Our personable sidewalk robot is our vision for the future. • We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. • We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. • Our team is agile, diverse, and driven. • We’re looking for a motivated ML champion to join our AI team, where you’ll apply advanced machine learning techniques to refine agent prediction and planning models using multi-modality data and support Serve’s robots to navigate through complex sidewalk environments safely and reliably.
• Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5+ years of industry experience in building perception and prediction modules for robotics / AV stack. • Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, etc.). • Exposure to state-of-the-art research or publications in perception and prediction approaches. • Strong background in sensor fusion (especially lidar and camera) and modern transformer-based model architecture. • Proven track record of building ML pipelines and deploying models in production. • Proficient in Python and C++, Someone who has a high bar to write production quality code. • Experience with large-scale real-world dataset curation and management.
• Offers Equity
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