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Lead Machine Learning Engineer

2 months ago

Vancouver, British Columbia, Canada Wayve Full time

About Wayve

Wayve is at the forefront of autonomous vehicle technology, pioneering the use of advanced technologies like deep learning, computer vision, and reinforcement learning to develop intelligent algorithms for universal autonomy. Our team comprises world-class researchers and engineers dedicated to revolutionizing the self-driving car industry through data-driven insights and experiential learning.

Your Impact

We are seeking a seasoned Machine Learning Engineer to join our core team in Vancouver and lead engineering initiatives within our Science division. You will collaborate closely with our research experts to create, integrate, test, and scale state-of-the-art algorithms, tools, and machine learning solutions for autonomous driving. Your contributions will directly enhance the effectiveness and efficiency of our models, accelerating our research and development process.

Key Responsibilities

  • Design and implement neural networks for autonomous driving applications.
  • Collaborate with the research team to prototype and iterate on new machine learning models.
  • Optimize models for real-world effectiveness.
  • Develop and maintain machine learning tools and infrastructure.
  • Create metrics and dashboards for monitoring progress.
  • Evaluate new technologies for driving innovation.
  • Utilize analytical approaches to generate insightful results.
  • Ensure high-quality training data through advanced techniques.
  • Communicate data needs effectively within the team.
  • Integrate machine learning solutions into the autonomous driving platform.
  • Foster a culture of collaboration and innovation within the engineering team.

Qualifications

  • At least 5 years of industry experience in training large-scale models.
  • Strong foundation in machine learning and deep learning.
  • Experience leading technical agendas aligned with organizational goals.
  • Experience transitioning research concepts into production.
  • Ability to innovate and enhance existing models.
  • Proficiency in Python and deep learning frameworks.
  • Strong teamwork and communication skills.

Bonus Qualifications

  • Proficiency in model compression techniques.
  • Understanding of hardware-specific optimizations.
  • Advanced degree in a relevant field.

What We Offer

  • Opportunity to shape the future of autonomous driving and embodied AI.
  • Collaboration with top researchers, engineers, and entrepreneurs.
  • Competitive compensation and benefits.
  • Various team activities and learning opportunities.
  • Assistance with relocation and potential visa sponsorship.

Wayve values diversity and believes in creating an inclusive workplace where unique perspectives drive innovation and growth.