2 months 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
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.