ML Engineer - Autonomous Driving Data Enrichment

Wayve; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid working

Equity

Relocation support

Visa sponsorship

Vehicle labs access

Job summary

Wayve in Sunnyvale is seeking a data-centric ML engineer to help scale real-world driving data pipelines. You will work on data enrichment, labeling, and dataset curation for their end-to-end AI Driver and foundation models.

The role emphasizes production-ready research, Python-based tooling, and collaboration across foundation-model, evaluation, simulation, and infrastructure teams to push ideas into production.

Qualifications

• You have strong machine-learning and software-engineering fundamentals and can take applied research into production.
• Proficient in Python and a modern deep-learning framework and comfortable with SQL or large-scale data tools.
• Experience with data curation, foundation models, large-scale data wrangling, computer vision, or model evaluation.
• You can reason about sampling, class imbalance, label quality, dataset coverage, and experimental design.
• You enjoy ambiguous, cross-functional problems and communicate technical trade-offs clearly.
• Experience with autonomous driving, robotics, VLMs, active learning, similarity search, Spark, or distributed training is valuable.

Responsibilities

• Build scalable methods to discover rare, high-value, and safety-critical scenarios in fleet data.
• Use embeddings, active learning, similarity search, model-assisted mining, and smart sampling to improve dataset coverage.
• Design pipelines for automated enrichment, labelling, deduplication, and data-quality monitoring.
• Run experiments to understand which data mixtures and curation strategies improve model performance.
• Collaborate with foundation-model, evaluation, simulation, and infrastructure teams to move ideas into production.
• Build benchmarks and slice analyses that expose model blind spots and guide the next data and modelling iteration.

Job description

Wayve in Sunnyvale is seeking a data-centric ML engineer to help scale real-world driving data pipelines. You will work on data enrichment, labeling, and dataset curation for their end-to-end AI Driver and foundation models.

The role emphasizes production-ready research, Python-based tooling, and collaboration across foundation-model, evaluation, simulation, and infrastructure teams to push ideas into production.