Staff Machine Learning Engineer, Data Curation & Dataset Strategy

📋 Description

• Build and own the ingestion-time model that scores incoming driving data and routes it to hot
• Work with training teams to define the right data distributions for every model we're building
• Deliver early storage-cost savings through practical heuristics, then develop ML-driven filtering
• Partner with ingestion, annotation, retrieval, data quality, model training, AV/robotics
• Lead and work hands-on with a small group of software and ML engineers to build data provisioning
• Defining our dataset content strategy: which data and metadata we need, and why, so training teams

🎯 Requirements

• Strong autonomous-vehicle or robotics experience, working with large-scale driving, sensor or
• Principal, hands-on ML engineer who has built models that score, select or filter data
• Operated at petabyte scale and are comfortable with the engineering that comes with it
• Strong in Python and Spark, with large-scale cloud data experience
• Strong quantitative intuition and use it to make practical, measurable decisions
• Pragmatic and high-ownership, and can set direction across several teams without direct authority

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave