Coco is looking to revolutionize urban logistics by developing AI technology for their robot pilots to scale efficiently, sustainably, and safely. This involves building an autonomy stack from scratch using their collected data to improve the robot-to-pilot ratio and make last-mile delivery accessible to everyone in urban areas.
Requirements
- 7+ years experience in machine learning, computer vision, robotics, or autonomous systems.
- Proven track record of training and deploying a real world neural network.
- Extremely well versed in the models and techniques that have been used and are currently in use with autonomous driving or robotics systems in constrained, production environments. SfM, SLAM, large-scale mapping & localization, RL, imitation learning, neural rendering, etc.
- Expertise in training and deploying deep learning models, particularly in vision (CNNs, object detection, semantic segmentation).
- Excellent programming skills in Python and C++.
- Practical experience with PyTorch.
- Experience in optimizing large-scale ML models and deploying them on distributed cloud/edge infrastructure.
Responsibilities
- Develop the architecture and implementation of machine learning models that power the autonomous vehicle’s perception, decision-making, and control systems.
- Design and implement algorithms for object detection, sensor fusion, path planning, and real-time decision-making.
- Develop and maintain robust data pipelines to ingest, label, and preprocess data from multiple sensors (LiDAR, cameras, radar).
- Train and optimize deep learning models using simulation and real-world data. Focus on improving system accuracy, robustness, and efficiency.
- Build simulation environments to test various driving scenarios and edge cases; work closely with the hardware team to ensure smooth integration of software with vehicle systems.
- Ensure that the autopilot system adheres to safety standards and regulations, incorporating redundancy and fail-safe mechanisms.
- Play a key role in recruiting, mentoring, and leading a high-performance machine learning and autonomy team.
Other
- Strong leadership and communication skills.
