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Tech Lead, ML Edge Deployment

Wayve is a leader in Embodied AI technology, focusing on enhancing automated driving systems. We are looking for a Tech Lead specializing in ML Edge Deployment to make significant contributions in shaping the future of autonomous vehicles.

Skills

  • Proficiency in machine learning frameworks like TensorFlow or PyTorch.
  • Experience with edge computing and optimization techniques.
  • Strong programming skills in Python and C++.
  • Ability to work in a fast-paced, collaborative environment.

Responsibilities

  • Lead the development of machine learning models deployed on edge devices.
  • Collaborate with cross-functional teams to integrate AI solutions into vehicles.
  • Optimize algorithms for real-time performance in complex environments.
  • Mentor and guide junior engineers throughout the development lifecycle.

Education

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Master's degree or PhD in AI or Machine Learning is a plus.

Benefits

  • Competitive salary and performance-based bonuses.
  • Flexible working hours and hybrid work environment.
  • Comprehensive health and wellness benefits.
  • Opportunities for professional development and training.
To read the complete job description, please click on the ‘Apply’ button
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CEO of Wayve
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Alex Kendall
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Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$120,000/yr - $160,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 19, 2025

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