Waymo · 21 hours ago
Principal Software Engineer, ML Flywheel Technical Lead
Mountain View, CA
Full-time
Onsite
Lead/Staff
$332K/yr - $421K/yr
10+ years expWaymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Principal Software Engineer, ML Flywheel Technical Lead will be responsible for architecting and improving the machine learning self-improvement process, collaborating closely with various teams to enhance the Waymo Driver's capabilities.
Artificial Intelligence (AI)AutomotiveAutonomous VehiclesSensorTransportation
Responsibilities
Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver
Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation
Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil
Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver
Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance
Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel
Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance
Qualification
Required
Master's degree or PhD in Computer Science, Engineering, or a related technical field
10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models
6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment
6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations
Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects
Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications
Experience with driving model quality improvements through systematic data scaling and curation
Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines
Preferred
PhD in computer science
Experience in multi-modal LLM model development, and their infrastructure
Familiarity with multi-task, end-to-end models and their development challenges
Benefits
Waymo’s discretionary annual bonus program
Equity incentive plan
Generous Company benefits program
Company
Waymo
Waymo is a mobility technology company that improves transportation by developing self-driving solutions for travelers and daily commuters. It is a sub-organization of Alphabet.
1001-5000 employees
H1B Sponsorship
Waymo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (231)
2024 (175)
2023 (268)
2022 (306)
2021 (298)
2020 (317)
Funding
Current Stage
Late StageTotal Funding
$11.1BKey Investors
Alphabet
2024-07-23Series C· $5.6B
2021-06-16Series B· $2.5B
2020-05-12Series A· $750M
Leadership Team
Tekedra Mawakana
Co-Chief Executive Officer
Annabel Chang
Head of State Policy & Government Relations
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