Sr Machine Learning Engineer, Auto Labeling

Serve Robotics(1 month ago)

RemoteFull TimeSenior$185,000 - $230,000Software

About this role

The Senior Machine Learning Engineer for Auto Labeling at Serve Robotics will design and implement advanced auto-labeling pipelines that generate 3D and 4D annotations from multi-modal robot data to enhance autonomous systems. The role demands the development of data-centric learning workflows and the leadership of initiatives aimed at reducing manual labeling through self-training and weak supervision methods. Collaboration with cross-functional autonomy teams is essential for aligning labeling infrastructure with model training and evaluation, while mentoring junior engineers in best practices in data-centric ML will also be a key responsibility. The ideal candidate should possess significant experience in production ML systems within robotics or autonomous driving, along with strong programming skills and expertise in deep learning frameworks.

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Required Skills

Auto-Labeling Pipelines
3D and 4D Annotations
Data-Centric Workflows
Self-Training
Weak Supervision
Simulation-to-Real Adaptation
Cross-Functional Collaboration
Production ML Systems
Deep Learning
Scalable ML Design

+9 more

Qualifications

M.S. or Ph.D. in Computer Science, Machine Learning, Robotics, or related field, or equivalent industry experience

About Serve Robotics

www.serverobotics.com

Serve Robotics is a pioneering company focused on sustainable, self-driving delivery solutions. Their autonomous delivery robots are designed to make transporting small items, such as food, more efficient and environmentally friendly, eliminating the need for traditional vehicles. Serve Robotics aims to partner with well-known brands like Uber Eats to expand their service reach and impact on urban delivery logistics. With a commitment to innovation, they strive to make delivery affordable, convenient, and sustainable for the future.