Lead Artificial Intelligence Engineer
4 days ago
Wayve Technologies Ltd is seeking a highly skilled Principal Machine Learning Engineer to join our team in Sunnyvale, California. This full-time role offers a competitive salary of $250,000 per annum and a dynamic work environment where you can grow every day.
About the RoleWe're revolutionizing the way autonomous vehicles learn and operate, and we need your expertise to drive innovation in scenario technology. As a Principal ML Engineer, you'll lead the design and implementation of scalable ML-based tools that enhance our scenario pipeline—from data mining and scenario generation to simulation-based evaluation.
Your responsibilities will include:
- Designing and implementing robust ML models and augmentation techniques for our scenario generation and validation systems.
- Architecting scalable systems for mining, curating, and synthesizing data to fuel scenario databases using real-world and synthetic data.
- Collaborating with cross-functional teams, including Simulation and Science, to integrate state-of-the-art technologies into our scenario pipelines.
- Driving innovation in scenario coverage, focusing on both closed-loop and open-loop evaluations.
- Own end-to-end technical solutions: from translating product requirements into engineering tasks to delivering high-impact ML models and infrastructure improvements.
- Identifying and addressing infrastructure gaps and leading initiatives to enhance our foundational tools.
- Mentoring engineers across teams to foster growth and innovation in scenario-driven ML engineering.
To succeed as a Principal ML Engineer at Wayve Technologies Ltd, you'll need:
- A Master's or Ph.D. degree in Computer Science, Machine Learning, or related fields, with 10+ years of industry experience.
- Proven experience in building, deploying, and scaling production-level ML solutions.
- Deep understanding of ML fundamentals, with expertise in one or more areas: Deep Learning, Computer Vision, Traditional ML, or Large Language Models.
- Proficiency in Python, with a strong focus on clean, well-structured, and testable code.
- Experience leading and executing large-scale, cross-functional projects.
- 7+ years of experience in ML engineering and 4+ years in production deployments.
- Hands-on experience with data pipelines, SQL, and managing large-scale databases.
We offer a comprehensive benefits package, including:
- Fully employer-covered medical, dental, and vision insurance.
- Competitive compensation and additional perks like catered lunch, yummy snacks, and a variety of drinks.
- An ego-free, respectful, and welcoming work environment where you can thrive and grow.
- A culture that values collaboration, innovation, and continuous learning.
- A hybrid working policy that combines time together in our offices and workshops with time spent working from home.
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