ML Systems Engineer, Robotics

Scale AI(4 days ago)

San Francisco, CAOnsiteFull TimeSenior$218,400 - $273,000Physical AI

About this role

Scale's Physical AI business unit focuses on advancing the capabilities of AI systems for Robotics, Autonomous Vehicles, and Computer Vision. The role involves conducting applied research and developing machine learning pipelines optimized for cloud-based GPU environments, supporting groundbreaking innovations in physical AI.

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Required Skills

Machine Learning
GPU Computing
Backend Systems
Cloud Infrastructure
CUDA
Kubernetes
Python
C++
Data Pipelines
Model Serving

About Scale AI

scale.com

Scale AI is a data platform that accelerates the development of production-grade AI by delivering high-quality training data and annotation services. It offers APIs, labeling tools, and data-management workflows—combining human-in-the-loop annotation, ML-assisted automation, quality assurance, and dataset versioning—to support applications like self-driving cars, mapping, robotics, AR/VR, and enterprise ML. Scale’s tooling and services produce reliable labeled datasets, synthetic data, and evaluation assets so teams can train and iterate models faster. The company is widely used by leading technology and government organizations as a turnkey partner for building and maintaining training data at scale.

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