Machine Learning Engineer, Spatial Intelligence New Vancouver

Full Description

Our Vision at Wayve-Technologies-Ltd

We are committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives.

This means we value diversity, embrace new perspectives, and foster an inclusive work environment where every individual can thrive and contribute to our shared success.

We strive to be a place where talented individuals from all backgrounds feel welcome, valued, and empowered to reach their full potential.

About Us

Founded in 2017, Wayve-Technologies-Ltd 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.

We aim to create autonomy that propels the world forward by designing intelligent, mapless, and hardware-agnostic AI products 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.

The Role

We are looking for a Machine Learning Engineer to drive the development and productionization of Multimodal Spatial Intelligence for autonomous driving.

In this role, you will collaborate closely with Research and Production teams to develop, test, scale and deploy ML enabled methods for 3D spatial understanding.

The ideal candidate will have deep technical experience in 3D vision, multimodal sensors and fusion, and a passion for efficiency, engineering excellence and evaluation.

What You Will Bring to Wayve-Technologies-Ltd

• 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 (e.g., RGB, LIDAR, RADAR, IMU)

• Commitment to excellence in data engineering, with an appreciation for quality, curation, large scale datasets and scaling laws

• Passion to take research ideas to production

• MS or PhD in Computer Science or Engineering with specialism in Machine Learning, Computer Vision, Robotics, Artificial Intelligence

• Record of publication at places like CoLM, CoRL, CVPR, ICCV, AAAI, ICML, NeurIPS, RSS, ICRA

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.