Machine Learning Engineer, Driving Product at Wayve | CA, US | Rezi

Machine Learning Engineer, Driving Product at Wayve

Machine Learning Engineer, Driving Product

Wayve · CA, US

1 weeks ago

Machine Learning Engineer, Driving Product

Wayve · CA, US

9 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Machine Learning Engineer, Driving Product role.

Rezi rewrites your resume against Wayve's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Machine Learning Engineer, Driving Product posting at Wayve — free, in seconds.

About the Role

Wayve is seeking Senior and Staff ML Engineers to join the Driving Product organization. You will train and iterate on end-to-end driving models, owning the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries. This role offers the opportunity to work in small, high-ownership teams within a rapidly growing company where execution and real-world outcomes are paramount.

Responsibilities

  • Develop AI driver model architecture and training algorithms to introduce and enhance driving behaviors for L2/L3/L4.
  • Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
  • Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviors, and implement data schemes to support training.
  • Run and analyze on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.

Requirements

  • Proven experience training deep learning models with clear end-to-end ownership (data, training, evaluation, iteration).
  • Experience taking ML models into production, including working through real-world constraints and quality and safety requirements.

Skills

  • Reinforcement learning experience
  • End-to-end driving models
  • Transformer networks
  • Automotive or OEM experience
  • Deploying ML into physical systems
  • Pytorch lightning training infrastructure
  • Model compression
  • Deployments to embedded systems

Location

  • Sunnyvale
  • London
  • Israel

Work Type

  • Full-time
  • Hybrid

Experience Level

  • Senior
  • Staff

About the Company

  • Founded in 2017, Wayve is the leading developer of Embodied AI technology.
  • Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
  • Our vision is to create autonomy that propels the world forward.
  • Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
  • In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions.
  • We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
  • At Wayve, your contributions matter.
  • We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
  • Make Wayve the experience that defines your career!

Equal Opportunity

  • Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
  • We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
  • At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
  • For US candidates only, please visit E-Verify Notice and Participation and Right to Work.