Applied Scientist Machine Learning Engineer (AI)

Applied Scientist Machine Learning Engineer

Company

Wayve

Conditions

6 days agoSalary: 312K - 370K

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will curate fleet data, build enrichment and labeling pipelines, train and fine-tune large-scale models, and design offline and closed-loop evaluation. You will develop methods for embodied vision-language-action models, world models, policy learning, reinforcement learning, and reward modeling.

Requirements

• Master’s degree with around 6 or more years of relevant experience, or PhD with 2 or more years
• Machine learning and software fundamentals
• Experience taking machine learning research into production systems at scale
• Experience in data curation, foundation-model training, large-scale data wrangling, or foundation-model evaluation
• Experience with large-scale data or large neural networks
• Python proficiency
• Experience with PyTorch or a similar deep-learning framework

Responsibilities

• Mine fleet data for rare, long-tail, and safety-critical events
• Develop repeatable training-data curation across cities, sensor rigs, and embodiments
• Build automated and semi-automated enrichment, labeling, and data-quality pipelines
• Build and fine-tune large-scale pretrained models
• Develop embodied vision-language-action models for driving
• Design offline and closed-loop evaluation metrics and benchmarks
• Use world-model-based evaluation for counterfactual scenarios
• Contribute to policy learning, reinforcement learning, and reward modeling

Benefits

• Hybrid working
• Competitive equity package

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