Perception ML Engineer - Hybrid, Continuous Learning

Neura Market; Mountain View (CA); Hybrid; USD 175,000 - 215,000; Full time

Job summary

Waymo is seeking a Perception Machine Learning Engineer to build systems that enable our perception stack to learn from vast sensor data. You will bridge model architecture and data infrastructure, driving continuous improvement with smart data curation and active learning.

You will collaborate with researchers and operations teams to advance end-to-end model development and ensure data-efficient, robust performance across diverse driving scenarios.

Qualifications

• Bachelor's degree in Machine Learning, Robotics, or Computer Science.
• 3+ years of professional ML/Computer Vision experience.
• Hands-on experience applying active learning in production environments.
• Building large-scale ML data pipelines (mining, extraction, auto-labeling, ingestion).
• Strong data curation skills for balancing, core set selection, and sampling.

Responsibilities

• Architect data pipelines to mine, ingest, and manage sensor data from our fleet.
• Deploy active learning to identify impactful data for training and adapt models to new environments.

Skills

Active learning

Large-scale ML data pipelines

Python

PyTorch or JAX

Data curation

Software engineering

Education

Bachelor's degree in ML/Robotics/CS

MS or PhD preferred

Tools

C++

Job description

Waymo is seeking a Perception Machine Learning Engineer to build systems that enable our perception stack to learn from vast sensor data. You will bridge model architecture and data infrastructure, driving continuous improvement with smart data curation and active learning.

You will collaborate with researchers and operations teams to advance end-to-end model development and ensure data-efficient, robust performance across diverse driving scenarios.