Technical Lead Manager, Perception, Machine Learning/Computer Vision

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Who We Are

Nuro is a robotics start-up whose mission is to accelerate the benefits of robotics for everyday life. We have an elite team of entrepreneurs and engineers, designers, and scientists. We believe AI and robotics are at the cusp of transforming daily life and we are dedicated to building meaningful products with this technology. Join us and play a critical role in our mission.

About the Role

Our team is growing and we are looking for Machine Learning leaders to join the Perception team. We apply machine learning to solve challenging perception problems, e.g. object detection, semantic segmentation, instance segmentation, dense depth, optical flow, tracking. In this hands-on leadership role, you will lead a team in the development of novel machine learning models, robust and scalable data pipelines, and deployment of these models on our self-driving vehicles.

About the Work

• Lead a team responsible for the development of novel machine learning methods and algorithms that solve complex problems; including but not limited to, object detection, semantic segmentation, instance segmentation, depth estimation, optical flow, etc.
• Mentor, manage, and grow the team
• Collaborate well with other team members to deliver high-quality perception solutions that power the next generation of mobile robots
• Be involved in all parts of model development, from data, to experimentation, and finally through deployment.

About You

• Strong experience in technical leadership in ML and people management
• Strong experience in state-of-the-art deep learning models for computer vision tasks on camera, lidar, radar
• Excellent ML fundamentals and has demonstrated experience building and expanding model architectures
• Good SWE fundamentals and ability to demonstrate SWE experience in both high and low-level languages (Python and C++)
• Strong research capabilities and track record of publishing papers at top conferences on relevant topics
• Bonus: Experience in deploying models in real time environments. Optimizing architectures to explore the accuracy vs. compute tradeoff
  Bonus: Experience working with productizing ML models and the infrastructure supporting model development (data, large scale training, eval, etc)