Wayve
Staff Data Scientist
Sunnyvale, California USA · Staff+ · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- We operate core working hours so you can determine the schedule that works best for you and your team.
Responsibilities
- Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
- Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
- A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
- Comfortable working asynchronously across time zones with cross-functional partners
- You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.
Compensation
- This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to 311,400, plus a competitive equity package.
Benefits
- Practical experience with machine learning (e.g. pytorch).
Company info
- At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
This listing is sourced directly from Wayve's careers page and normalized into a canonical job model.