Machine Learning Engineer, Perception Continuous Learning
Autonomous driving technology company running a fully autonomous ride-hail service, Bay Area
| Employer | Autonomous driving technology company running a fully autonomous ride-hail service, Bay Area (not named) |
|---|---|
| Location | Mountain View, CA (Bay Area) · Hybrid |
| Type & level | Full-time · Mid-level |
| Pay | USD 175k–215k base Source: pay range stated in the source posting |
| Visa path | O-1A fit |
| Role family | Autonomous Vehicle Perception & Planning Engineer |
About the role
The perception team needs its models to keep improving as the fleet meets new road conditions. This engineer builds the closed-loop systems that select the most useful data for training and prune what is no longer needed. The role links model design with large-scale data infrastructure.
What you'll do
- Design and scale pipelines that mine, ingest and manage large volumes of fleet sensor data
- Deploy active learning methods to pick the most impactful training data for incremental model updates
- Build evaluation methods and ground-truth-free metrics to detect regressions in model updates
- Run large experiments on data balancing, subset selection and label quality
- Create automated curation, pruning and downsampling strategies to cut dataset bloat and compute cost
- Develop mining, training and evaluation pipelines for rare, safety-critical scenarios using uncertainty and embedding signals
Requirements
- Bachelor's degree in machine learning, robotics or computer science
- 3+ years of professional experience in machine learning and/or computer vision
- Hands-on experience applying active learning in production
- Experience building large-scale ML data pipelines covering mining, extraction, auto-labeling and ingestion
- Proficiency in Python and PyTorch or JAX, with strong production software engineering skills
Nice to have
- MS or PhD in machine learning, robotics or computer science
- Publications at top-tier conferences such as CVPR, ICCV, NeurIPS or ICLR
- C++ experience
- Experience building data-centric infrastructure from scratch
Pay & benefits
USD 175k–215k base. The posting mentions eligibility for a discretionary annual bonus, an equity incentive plan and a company benefits program.
Pay source: pay range stated in the source posting. Market data, not an offer from O1DMatch.
Visa path
Machine learning engineers in perception often use evidence such as publications, citations, original technical contributions, high compensation, and peer review or judging activity for an O-1A. The posting states no citizenship restriction. An employer like this or a U.S. agent can file, and approval depends on the individual's evidence.
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