Applied Scientist ​/ Machine Learning Engineer

# Applied Scientist / Machine Learning Engineer## Wayve Published 17 Jul 2026### Share this job Sunnyvale, CA, USA
312K - 370K USD Annual Full Time## Role Highlights### Languages usedGOPython### Key skills

Data Infrastructure Reinforcement Learning Neural networks

Training Data Machine Learning Computer Science Data Processing Data Qualityfoundation modelLLMsGenerative AIDeployment Modelling Multimodal Perception Ph DRobotics Mathematics Research Data Sets Embeddings Search ### Tools, Libraries and FrameworksIOSLOOPPy Torch Ray ## Description The role involves working within the AI Platform organization to manage the data flywheel that improves foundation models. Responsibilities include mining large-scale fleet data to identify safety-critical events and developing automated pipelines for data enrichment and labeling.

The position requires designing rigorous evaluation frameworks to measure model progress in both offline and closed-loop environments. Additionally, the role contributes to the development of vision-language-action models and generative world models. The work focuses on scaling data intelligence to enhance the performance and generalization of autonomous driving systems.##

Required Qualifications and Skills Candidates must hold a Master’s degree with at least 6 years of experience or a PhD with at least 2 years of experience in computer science, machine learning, robotics, mathematics, or a related field. Applicants are required to possess strong machine learning and software fundamentals, along with a proven track record of moving research into production systems.

Proficiency in Python and deep-learning frameworks like PyTorch is essential. Furthermore, candidates must demonstrate hands-on expertise in data curation, large-scale data wrangling, or foundation model evaluation.## Apply Visit full job listing
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