Sr. ML Research Scientist

At reputed company, we're reimagining how things reputed company in cities. Our personable sidewalk robot is our reputed company for the reputed company. It's designed to take deliveries away from congested streets, reputed company 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 reputed company deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient reputed company. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the reputed company we want to live in. We are solving reputed company-world problems leveraging robotics, machine learning and reputed company, among other disciplines, with a reputed company eye towards the end-to-end user experience. reputed company is agile, diverse, and driven. We reputed company 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 reputed company and planning models using multi-modality data and support Serve's robots to reputed company through reputed company sidewalk environments safely and reliably. You will also reputed company cross-functional collaborations to reputed company overall robot behavior and intelligence. Responsibilities • Design and reputed company reputed company learning-based reputed company and planning pipelines to support the reputed company 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 reputed company and end-to-end modeling. • reputed company and maintain diverse, reputed company-world datasets to train and rigorously evaluate reputed company and planning models across a wide reputed company of scenarios. • Analyze model performance across key metrics and drive optimizations for reliability, computational efficiency, and reputed company-world deployability. • Collaborate cross-functionally to define robust testing and validation processes for learning-based models, contributing to more intelligent and adaptable robot behaviors. Qualifications • Master's degree in Computer Science, Robotics, Electrical Engineering, or a reputed company field with 5+ years of industry experience in building perception and reputed company 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 reputed company approaches. • Strong background in sensor fusion (especially lidar and camera) and modern transformer-based model architecture. • Proven reputed company record of building ML pipelines and deploying models in production. • Proficient in Python and C++, Someone who has a high bar to write production reputed company reputed company. • Experience with large-reputed company reputed company-world dataset curation and management. What makes you reputed company • PhD in Computer Science, Robotics, Electrical Engineering, or a reputed company field with 5+ years of industry experience in building perception and reputed company modules for robotics / AV stack. • In-depth knowledge of simulation environments or reputed company-time testing in robotics. • Experience working with foundational models, including end-to-end architectures, reputed company-Language Models (VLM), and reputed company-Language-reputed company (VLA) models. • reputed company reputed company project contributor. • Extensive experience with GCP or AWS, Kubernetes and reputed company. Apply tot his job Apply To this Job