4 hours ago
Mountain View, CA, USA or San Francisco, CA, USAMid Level
H1B Sponsor
Base Salary
$175k - $215k/yr
Responsibilities
- Design and scale pipelines to mine, ingest, and manage massive volumes of fleet sensor data.
- Deploy active-learning algorithms to select impactful training data and support incremental model updates.
- Develop real-world model-performance evaluation methods, regression detection, and ground-truth-free metrics.
- Run large-scale experiments on data balancing, subset selection, label quality, pruning, and downsampling.
- Build mining, training, and evaluation pipelines for rare, safety-critical long-tail scenarios.
- Use uncertainty estimation, confidence scores, and embedding-space analysis to identify model blind spots and guide data acquisition.
- Collaborate with researchers and operations teams across the end-to-end model-development lifecycle.
Requirements
- Bachelor’s degree in Machine Learning, Robotics, or Computer Science.
- At least 3 years of professional experience in Machine Learning and/or Computer Vision.
- Hands-on experience applying active learning in production environments.
- Strong expertise building large-scale machine-learning data pipelines for mining, extraction, auto-labeling, and ingestion.
- Deep understanding of data curation, including balancing, core set selection, and sampling.
- Proficiency in Python and a deep-learning framework such as PyTorch or JAX.
- Strong software-engineering skills for writing robust, production-ready code.
- Preferred: advanced degree in Machine Learning, Robotics, or Computer Science.
- Preferred: publications at top-tier conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, IROS, RSS, AAAI, IJCV, or PAMI.
- Preferred: experience with C++.
- Preferred: experience building data-centric infrastructure from the ground up to accelerate model iteration cycles.
Benefits
- Hybrid work arrangement.
- Full-time position.
- Eligibility for a discretionary annual bonus program, equity incentive plan, and company benefits program, subject to eligibility requirements.
Categories
Data EngineeringML Engineering
About Waymo
On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings. Need support? Send us a message – we're here to help.