Machine Learning Engineer, Spatial Intelligence

Leading developer of Embodied AI technology creating advanced AI software and foundation models for autonomous driving systems.
Machine Learning
Senior Software Engineer
Hybrid
101 - 500 Employees
3+ years of experience
AI · Automotive

Description For Machine Learning Engineer, Spatial Intelligence

Wayve, founded in 2017, is at the forefront of autonomous driving technology, developing Embodied AI solutions that are revolutionizing the automotive industry. They're seeking a Machine Learning Engineer to join their Spatial Intelligence team in Vancouver. This role focuses on developing and implementing cutting-edge 3D vision and spatial understanding capabilities for autonomous vehicles. The ideal candidate will bring 3+ years of experience in 3D vision, combining traditional and deep learning approaches for SLAM/SFM systems. The position offers an opportunity to work with state-of-the-art technology in autonomous driving, collaborating with research and production teams to bring innovative solutions to life. Wayve emphasizes diversity, inclusion, and a culture of continuous learning, making it an ideal environment for those passionate about pushing the boundaries of AI and autonomous systems. The role requires expertise in Python, deep learning frameworks, and a strong foundation in computer vision and machine learning, with the opportunity to contribute to groundbreaking developments in autonomous driving technology.

Last updated 16 days ago

Responsibilities For Machine Learning Engineer, Spatial Intelligence

  • Drive the development and productionization of Multimodal Spatial Intelligence for autonomous driving
  • Collaborate with Research and Production teams
  • Develop, test, scale and deploy ML enabled methods for 3D spatial understanding

Requirements For Machine Learning Engineer, Spatial Intelligence

Python
  • 3+ years shipping 3D vision capabilities in production environments
  • Strong programming skills in Python, including experience with deep learning frameworks such as PyTorch, Numpy, Pandas etc.
  • Solid understanding of training, validation, and testing methodologies for deep learning and 3D vision systems
  • Experience with a mix of traditional and deep learning systems for SLAM / SFM ideally with multimodal inputs
  • Commitment to excellence in data engineering
  • MS or PhD in Computer Science or Engineering (desirable)
  • Record of publication at places like CoLM, CoRL, CVPR, ICCV, AAAI, ICML, NeurIPS, RSS, ICRA, ACL, EMNLP (desirable)

Benefits For Machine Learning Engineer, Spatial Intelligence

Visa Sponsorship
  • Visa Sponsorship available
  • Hybrid work environment (2-3 days in office)

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