…Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines…

…Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines…

…dives, workshops, and executive-level design sessions with customer engineering, business, and leadership teams. - Create and share reusable reference architectures, code samples, technical content…

…train, and evaluate models - Master's degree in computer science, engineering, mathematics or equivalent, or PhD - Experience in machine learning, statistics, and deep learning…

…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Ability to influence customer and internal business decision makers as a technical…

…engineering Strong proficiency in Python and ML/data science libraries Applied knowledge of statistical data analysis, predictive modeling, classification, Time Series techniques, sampling methods…

…material callouts, color standards, finish samples, and approval criteria for production - Source and evaluate finish and texture options in collaboration with tooling vendors and…

…New critical component Qualification and Reliability assessment. Evaluate High speed performance and margins of the critical component. Run DOE’s and corners samples analysis…

…We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and…

…Strong understanding of software engineering best practices including version control, testing, and continuous integration Solid foundation in statistics, numerical methods, and core machine learning…

…trillions of evaluations daily. This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native…

…Experience with DevOps/GitOps, CI/CD, and containerized deployment frameworks like Kubernetes. Experience with statistical techniques for A/B testing, distribution estimation, and sampling…

…Design, System Engineering, Customer Engineering, Quality Engineering) to drive product meet customer sampling criteria and bring test solutions in the production program to improve…

…We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and…

…Rubrics, validation scripts, gold sets, sampling strategies Statistical checks and slice-based evaluation Human-in-the-loop review loops grounded in measurable criteria Strong…

…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and non-technical audiences and at C-level…

…evaluation methodologies, propose and prototype improvements in metrics, sampling strategy, statistical inference, etc. Become an expert in Waymo’s evaluation ecosystem for onboard software…

…Strong engineering design and programming skills Strong data fluency and analysis skills Familiarity with statistical methods including hypothesis testing, experiment design, and sampling Familiarity…

…YOU WILL: - Design and analyze product experiments to evaluate feature launches, onboarding changes, and in-product interventions with rigorous statistical methodology. - Own the analytics…