Sr. ML Research Scientist

• Design and develop next-generation learning-based prediction and planning pipelines to support the scalable deployment of a growing robot fleet.
• Research, prototype, and implement state-of-the-art machine learning algorithms—such as imitation learning and reinforcement learning—for the autonomy stack. Stay up to date with the latest advances in prediction and end-to-end modeling.
• Curate and maintain diverse, real-world datasets to train and rigorously evaluate prediction and planning models across a wide range of scenarios.
• Analyze model performance across key metrics and drive optimizations for reliability, computational efficiency, and real-world deployability.
• Collaborate cross-functionally to define robust testing and validation processes for learning-based models, contributing to more intelligent and adaptable robot behaviors.

This role creates positive change by developing advanced machine learning systems that enable sidewalk robots to navigate safely and reliably, taking deliveries away from congested streets, making deliveries available to more people, and benefiting local businesses.

• 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.

No specific benefits, compensation, or perks mentioned in the job description.

Serve Robotics is reimagining how things move in cities with personable sidewalk robots designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. They are tech industry veterans solving real-world problems using robotics, machine learning, and computer vision with a focus on end-to-end user experience.