Principal ML Engineer - Scenario Technology and Coverage

Leading developer of Embodied AI technology creating autonomous driving systems with advanced AI software and foundation models.
Machine Learning
Principal Software Engineer
Hybrid
10+ years of experience
AI · Automotive
This job posting may no longer be active. You may be interested in these related jobs instead:
Principal Machine Learning Engineer

Principal Machine Learning Engineer position at Wayve, leading autonomous driving technology development through innovative AI solutions in Sunnyvale.

Principal AI and ML Engineer — AI for Networking

Principal AI/ML Engineering role at NVIDIA focusing on AI for Networking, offering $248K-$391K plus equity. Lead AI infrastructure initiatives and mentor teams in a hybrid work environment.

Principal Software Engineer (AI Integration)

Principal Software Engineer position focusing on AI integration and development of scalable AI solutions for government and defense clients, with emphasis on generative AI and cloud platforms.

Principal Software Engineer, CoreAI

Principal Software Engineer position at Microsoft CoreAI, developing AI-first app stack and leading technical initiatives with competitive compensation and remote work flexibility.

Principal Software Engineer - CoreAI

Principal Software Engineer position at Microsoft's Azure OpenAI team, focusing on AI services development with competitive salary and hybrid work model.

Description For Principal ML Engineer - Scenario Technology and Coverage

Wayve, founded in 2017, is at the forefront of autonomous vehicle technology, developing Embodied AI solutions that are revolutionizing the automotive industry. As a Principal ML Engineer on the Scenario Technology and Coverage team, you'll play a crucial role in advancing self-driving technology by leading the development of ML-based tools and systems for scenario generation and validation.

The position offers a unique opportunity to work on cutting-edge autonomous driving technology, where you'll architect and implement scalable systems for data mining, scenario generation, and simulation-based evaluation. You'll collaborate with cross-functional teams, including Simulation and Science, to integrate state-of-the-art technologies into scenario pipelines.

The role requires a blend of technical expertise and leadership skills, with responsibilities ranging from developing robust ML models to mentoring engineers and driving technical direction. You'll need extensive experience in ML engineering, production deployments, and managing large-scale data systems.

Wayve offers a dynamic, fast-paced environment with a strong focus on innovation and learning. The company provides comprehensive benefits, including full medical coverage, and promotes a collaborative, ego-free culture. Working in a hybrid model at their Sunnyvale office, you'll have the flexibility to balance office time with remote work.

This is an exceptional opportunity for an experienced ML engineer passionate about autonomous vehicles to make a significant impact in a growing field. You'll be joining a mission-driven organization that values diversity, embraces new perspectives, and is committed to creating technology that propels the world forward.

Last updated 4 months ago

Responsibilities For Principal ML Engineer - Scenario Technology and Coverage

  • Lead development of robust ML models and augmentation techniques for scenario generation and validation systems
  • Architect scalable systems for mining, curating, and synthesizing data
  • Collaborate with cross-functional teams to integrate state-of-the-art technologies
  • Drive innovation in scenario coverage
  • Own end-to-end technical solutions
  • Identify and address infrastructure gaps
  • Guide team in technical direction
  • Mentor engineers across teams

Requirements For Principal ML Engineer - Scenario Technology and Coverage

Python
  • M.S. or Ph.D. in Computer Science, Machine Learning, or related fields
  • 10+ years of industry experience
  • Experience in building, deploying, and scaling production-level ML solutions
  • Deep understanding of ML fundamentals
  • Proficiency in Python with focus on clean code
  • Experience leading large-scale, cross-functional projects
  • 7+ years of ML engineering experience
  • 4+ years in production deployments
  • Hands-on experience with data pipelines, SQL, and managing large-scale databases

Benefits For Principal ML Engineer - Scenario Technology and Coverage

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
  • Competitive compensation
  • Fully employer-covered medical, dental and vision insurance
  • Life insurance
  • Employer contributed retirement account
  • Therapy
  • Yoga
  • Catered lunch
  • Office snacks and drinks
  • Office-wide socials

Interested in this job?