Why deliver a 2-pound burrito in a 2-ton car? Serve is the future of sustainable, self-driving delivery. Our zero-emissions robots are designed to serve people in public spaces, starting with food delivery. We partner with platforms and merchants to help local businesses reach more customers.

Come join us, we are hiring!

Serve Robotics

Machine Learning Engineer

Build and improve the ML infrastructure platform for autonomous delivery robots.

• Develop and maintain ML infrastructure, such as sensor data ETL pipelines, hard example data mining, continuous training pipelines, annotation platform, etc.
• Develop MLOps system for managing lifecycle of ML cloud training and inference as a service pipelines. Continuously improve ML model development, management and deployment processes.
• Work together with ML engineers, design metrics for ML tasks to mine sensor data of interest.
• Design and implement algorithms, such as collaborative filtering, active learning, etc., to rank/score annotation candidates.
• Work with annotation provider on setting up the annotation process, quality control and feedback loops.
• Make sensor data and its derivatives widely discoverable and accessible for Robotics Engineers across the entire company.

Senior Software Engineer, ML Infrastructure

Develop perception models for sidewalk autonomy using innovative machine learning techniques.

• Build foundational model for vision language and action that can exhibit good reasoning and maneuvering capability. Understands transformer based ML architecture really well.
• Design, train and deploy learning-based perception models for on-robot perception systems. Perception models should be able to do multi-modal learning capturing different semantics such as segmentation, object detection, scene understanding and tracking.
• Work with ML infrastructure engineers to assess and monitor model performance, analyze and resolve performance bottlenecks.
• Collaborate with various teams to understand real-world problems and define tasks, incorporating insights into ML products.
• Produce high-quality code for software development, participate in code reviews to ensure the quality of code, and share knowledge with the team.
• Comfortable working with sql queries and ETL logic for data ingress.

Senior ML Engineer, Robotics / Computer Vision

Performance Marketing

Optimize CPU and GPU performance for software in autonomous delivery robots.

• Collaborate with the autonomy team to understand new feature requirements and their impact on system performance.
• Instrument and profile the system to identify performance bottlenecks in both CPU and GPU usage.
• Develop and implement strategies to optimize software performance, ensuring efficient use of system resources.
• Conduct in-depth analysis of the Linux kernel and system scheduling to enhance performance.
• Develop best practices, patterns, and tooling for performance measurement and optimization.
• Provide technical leadership and mentorship to other team members.

Serve Robotics Jobs in New York City

Serve Robotics

Senior Software Engineer, ML Infrastructure

Serve Robotics

Senior ML Engineer, Robotics / Computer Vision

Serve Robotics

Senior Embedded Software Engineer - Performance

Serve Robotics