Staff Data Scientist

ABOUT US

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our

advanced AI software and foundation models enable vehicles to perceive,

understand, and navigate any complex environment, enhancing the usability and

safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our

intelligent, mapless, and hardware-agnostic AI products are designed for

automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty,

leaning into complex challenges to unlock groundbreaking solutions. We aim high

and stay humble in our pursuit of excellence, constantly learning and evolving

as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new

perspectives, and foster an inclusive work environment; we back each other to

deliver impact.

Make Wayve the experience that defines your career!

As a Data Scientist supporting AI engineers, you will partner with one or more

engineering teams, developing actionable insights that guide improvements to the

Wayve AI Driver. Using experimental and observational analyses of real and

simulated driving, you will help teams advance the functionality, safety, and

performance of the Wayve AI Driver, helping to advance Wayve as the leader in

end-to-end AI for autonomous mobility.

This means you might:

* Formulate and iterate upon the performance metrics that organize our

engineering efforts and guide progress toward commercial success

* Design experiments and targeted off-road measurements to ensure that we

deliver product requirements to customers while maintaining safety and

performance

* Investigate factors in model training and inference leading to bottlenecks in

functionality and performance, identifying and validating hypotheses for

unlocking improvements

WHAT WE ARE LOOKING FOR IN OUR CANDIDATE

ESSENTIAL

* 3+ years experience working in a Data Science role.

* Fluent in querying and building large datasets, writing production-level SQL

for use in data-transformation pipelines.

* Prior experience designing robust real-world experiments (e.g. A/B) and

critically evaluating test-statistics

* Foundations in the fundamentals behind statistics: testing appropriate

distributions, testing the assumptions behind frequentist stats

* Proficient in using a statistical scripting language and data science/ML

packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such

as dplyr, caret, stats)

* Well-versed in summarising, visualising and communicating findings in an

accessible and compelling way

* Track record of influencing team direction through your findings

* 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.

DESIRED

* Practical experience with machine learning (e.g. pytorch). Passion to take

research ideas to production.

* Track record of promoting statistical rigour and experimental best practices

in your prior roles.

* Prior experience using causal inference/econometric techniques and bayesian

methodologies for hypothesis testing.

* Prior experience using large datasets with distributed computing (e.g. spark,

hadoop or other map-reduce tech)

* Experience working in a fast-moving tech company or startup.

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. Actual compensation is based on the candidate's

skills, qualifications, and experience. 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. We operate core working hours so you can determine

the schedule that works best for you and your team.

Wayve is committed to creating an inclusive interview experience. If you require

any accommodations or adjustments to participate fully in our interview process,

please let us know.

We understand that everyone has a unique set of skills and experiences and that

not everyone will meet all of the requirements listed above. If you’re

passionate about self-driving cars and think you have what it takes to make a

positive impact on the world, we encourage you to apply.

At Wayve we're committed to creating a diverse, fair and respectful culture that

is inclusive of everyone based on their unique skills and perspectives, and

regardless of sex, race, religion or belief, ethnic or national origin,

disability, age, citizenship, marital, domestic or civil partnership status,

sexual orientation, gender identity, veteran status, pregnancy or related

condition (including breastfeeding) or any other basis as protected by

applicable law.

For more information visit Careers at Wayve. [https://wayve.ai/careers/]

To learn more about what drives us, visit Values at Wayve

[https://wayve.ai/careers/]

For US candidates only, please visit E-Verify Notice

[https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf]

and Participation and Right to Work

[https://www.ussc.gov/sites/default/files/pdf/employment/RightToWork.pdf]

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DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities

or disabilities in any of our job adverts or interviews. However, we do look to

capture information about care responsibilities, and disabilities among other

diversity information as part of an optional DEI Monitoring form to help us

identify areas of improvement in our hiring process and ensure that the process

is inclusive and non-discriminatory.