Join Us as a Principal Machine Learning Engineer at Wayve

Established in 2017, Wayve is at the forefront of autonomous vehicle technology, leveraging advances in Embodied AI. Our cutting-edge, mapless, and hardware-agnostic approach allows vehicles to navigate complex situations with ease. Backed by top-tier investors, our mission is focused on evolving from assisted to fully autonomous driving to enhance safety, efficiency, and accessibility in transportation. We invite you to become part of our diverse, global team comprising leading engineers and researchers dedicated to pioneering AI and autonomous vehicle technology with significant global impact.

Opportunity Impact

We are on the lookout for visionary leaders ready to foster innovation, drive key projects, and lead teams towards groundbreaking achievements in data-centric AI. This vital role resides within our Embodied AI division, which encompasses modelling, robotics, database, and investigations teams tasked with delivering top-tier Autonomous Driving products.

Position Highlights and Responsibilities

As a seasoned Machine Learning Engineer, your expertise will be crucial in scaling end-to-end neural networks essential for autonomous driving. Collaborating across our Embodied AI organization, you will:

• Provide technical leadership in pivotal company-wide programs.
• Develop and implement machine learning models and robotic systems, boosting the capabilities of our Autonomous Vehicle technology stack.
• Work closely with cross-functional teams to shape the broader company strategy and roadmap with a focus on machine learning applications.
• Advance your skills in machine learning through ongoing learning and real-world application, while also mentoring up-and-coming engineers.
• Efficiently balance your workload and technical resources to fulfill project and personal professional development objectives.
• Contribute to fostering a collaborative, impactful, innovative, and healthy work culture.
• Analyze and evaluate project decisions and risks, troubleshoot and optimize systems, and innovate within the space.

About You

Essential:

• Minimum 7 years of relevant experience in software and machine learning engineering within an industrial or applied research setting.
• Strong comprehension of training, validation, testing, and metrics for deep learning models.
• Keen interest in collaborative research with tangible product impact.
• Proficient in dealing with substantial image and video data sets.
• Degree in Machine Learning, Computer Science, Engineering, or related fields, or equivalent experience.

Desirable:

• Advanced software engineering skills in Python, C++, CUDA, or similar.
• Hands-on experience in computer vision, robotics, simulation, graphics, or large language models.
• Advanced degree in relevant fields.

What We Offer

Joining Wayve means being part of a mission-driven organization where you can significantly shape the future of autonomous driving. Although smaller and more agile than some competitors, we offer substantial impact potential, competitive compensation and benefits, and a dynamic, fast-paced work environment conducive to growth. Enjoy an inclusive, respectful culture with perks like an onsite chef, private health insurance, and more. This full-time role based in Mountain View supports hybrid work: a blend of in-office collaboration and remote work tailored to team and personal needs.

At Wayve, we are committed to fostering a diverse and inclusive workplace. We ensure every hiring process is fair and respects all individuals, encouraging applications from all backgrounds and communities.

Join our team: expand the possibilities of AI and autonomous driving at Wayve!