Staff Data Scientist
AI summary of the role
This Staff Data Scientist role partners with AI engineering teams to improve the Wayve AI Driver through experimental and observational analyses of real and simulated driving.
What you’ll do
- Formulate and iterate upon performance metrics that organize engineering efforts and guide progress toward commercial success
- Design experiments and targeted off-road measurements to ensure product requirements are delivered 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 you’ll bring
- 3+ years experience working in a Data Science role
- Fluent in querying and building large datasets, writing production-level SQL for data-transformation pipelines
- Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
- Proficient in using a statistical scripting language and data science/ML packages (e.g. python with pandas, sklearn, statsmodels, scipy or R with dplyr, caret, stats)
Technologies
SQL · Python · pandas · scikit-learn · statsmodels · scipy · R · dplyr · caret · PyTorch · Spark · Hadoop
About Wayve
Builds mapless, hardware-agnostic embodied AI driving software that automakers and fleet platforms can deploy from L2+ ADAS through L4 robotaxis.
Series D
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
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 [... source excerpt omitted ...] 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-worl [... source excerpt omitted ...] hing 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 ro
Employer postings · Data from · Sources