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Tech Lead - Pretraining Team, Wayve Foundation Model

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Wayve

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Location:
United States , Sunnyvale

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

This is a rare opportunity to lead foundational work at the intersection of large-scale pretraining and embodied AI. You’ll shape how Wayve curates and experiments with data to pretrain the next generation of multi-modal foundation models for autonomy. Working at the frontier of a still-undefined field, you’ll collaborate with research and engineering teams to define what “good data” looks like for embodied systems — and work with engineering teams to build the infrastructure to scale it. Your work will directly influence the performance, generalization, and capabilities of Wayve’s AI stack.

Job Responsibility:

  • Lead data curation, enrichment, and filtering efforts for large-scale pretraining of embodied models
  • Build and manage distributed data processing and ingestion pipelines across modalities
  • Partner with research teams to run data-centric experiments and influence model training strategy
  • Identify, integrate, and leverage third-party datasets to enhance pretraining and evaluation
  • Manage and mentor a team of engineers and data scientists to deliver scientific and technical impact

Requirements:

  • Leadership in data-centric AI: Experience leading research or engineering teams focused on dataset curation, filtering, or enrichment at scale, particularly for large-scale model pretraining.
  • Contributions to data benchmarks or tools: Involvement in projects like DataComp, LAION, DINO, MOLMO, or equivalent initiatives that define or evaluate pretraining dataset quality.
  • Deep understanding of distributed data processing: Strong working knowledge of frameworks such as Ray, Spark, Dask, or equivalent, and designing scalable, fault-tolerant data pipelines.
  • Hands-on deep learning expertise: Strong proficiency in PyTorch and a solid grasp of how data quality, distribution, and structure impact training dynamics and model generalisation.
  • Experimental mindset: Demonstrated ability to run and interpret data-centric experiments (e.g., small-scale trials, ablations) to inform large-scale model training.
  • Collaboration with research: Experience working closely with ML researchers and contributing to experimental design, pretraining strategies, or evaluation design.
  • Minimum 5 years of relevant industry experience: Including at least several years in data-heavy, model-driven environments involving deep learning at scale.

Nice to have:

  • Track record of research impact: Publications in top-tier conferences such as NeurIPS, ICML, CVPR, ICCV, CoRL, or equivalent, especially in data-centric learning, representation learning, or self-supervised learning.
  • People management experience: Track record managing ~5 direct reports in a research or research-leaning engineering environment
  • skilled in team development, prioritization, and technical alignment.
  • Experience with multi-modal or embodied systems: Familiarity with datasets involving video, language, lidar, radar and generally sensor fusion or embodied perception and control.
  • Tooling and infrastructure know-how: Familiarity with modern data versioning, annotation, and orchestration tools (e.g., Weights & Biases, ClearML, Labelbox, Airflow, Metaflow, etc.).
  • Autonomous systems exposure: While prior AV or robotics experience is not required, a demonstrated interest in embodied intelligence or real-world agent learning is a plus.
  • Systems thinking and data-product intuition: Ability to reason about upstream data decisions and their downstream effects on models, infrastructure, and product goals.
What we offer:
  • Attractive compensation with salary and equity
  • Immersion in a team of world-class researchers, engineers and entrepreneurs
  • A unique position to shape the future of autonomy and tackle the biggest challenge of our time
  • Bespoke learning and development opportunities
  • Relocation support with visa sponsorship
  • Flexible working hours - we trust you to do your job well, at times that suit you and your time
  • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

Additional Information:

Job Posted:
January 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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