Sr. ML Research Scientist

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving realworld problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the endtoend user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

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 multimodality data and support Serve’s robots to navigate through complex sidewalk environments safely and reliably. You will also lead crossfunctional collaborations to elevate overall robot behavior and intelligence.

Responsibilities

• Design and develop nextgeneration learningbased prediction and planning pipelines to support the scalable deployment of a growing robot fleet.

• Research, prototype, and implement stateoftheart 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 endtoend modeling.

• Curate and maintain diverse, realworld 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 realworld deployability.

• Collaborate crossfunctionally to define robust testing and validation processes for learningbased models, contributing to more intelligent and adaptable robot behaviors.

• Qualifications

  • Masters 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.

  • Handson experience with machine learning frameworks (TensorFlow, PyTorch, etc.).

  • Exposure to stateoftheart research or publications in perception and prediction approaches.

  • Strong background in sensor fusion (especially lidar and camera) and modern transformerbased 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 largescale realworld dataset curation and management.

  • What makes you standout

    • PhD 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.

    • Indepth knowledge of simulation environments or realtime testing in robotics.

    • Experience working with foundational models, including endtoend architectures, VisionLanguage Models (VLM), and VisionLanguageAction (VLA) models.

    • Open source project contributor.

    • Extensive experience with GCP or AWS, Kubernetes and Docker.