Software Engineer, Machine Learning

Serve Robotics is revolutionizing urban delivery through innovative sidewalk robots. As a Software Engineer in Machine Learning, you'll join a team of tech industry veterans working on cutting-edge robotics and AI solutions. The role focuses on developing dependable sidewalk autonomy software, combining machine learning, computer vision, and robotics expertise.

The position offers an opportunity to work on real-world problems in autonomous delivery, developing and optimizing perception models for robot systems. You'll be responsible for implementing vision grounding models, training perception systems, and optimizing ML models for embedded platforms. The role requires expertise in CUDA programming and deep learning model optimization.

The company culture emphasizes collaborative problem-solving and respect, with a diverse team of experienced professionals in software, hardware, and design. Their robots are already making commercial deliveries in Los Angeles, delighting merchants, customers, and pedestrians alike.

This remote position offers competitive compensation ($120K-$160K) with equity, making it an excellent opportunity for experienced ML engineers looking to make an impact in the robotics industry. The ideal candidate will have a strong background in computer vision, machine learning, and embedded systems, with the ability to optimize complex models for real-world applications.

Join Serve Robotics to help transform robotic deliveries from a novelty to an efficient, ubiquitous service, while working on challenging technical problems in a collaborative environment. Your work will directly contribute to creating more efficient, accessible urban delivery systems while reducing street congestion.