Founding ML Engineer
Description For Founding ML Engineer
Coco is revolutionizing urban logistics through their innovative fleet of on-demand delivery robots, focusing on empowering cities and local economies. As a Founding Machine Learning Engineer, you'll work directly with the CTO to build Coco's autonomy stack from the ground up. This role offers a unique opportunity to shape the future of last-mile delivery by leveraging millions of miles of delivery routes and sensor data.
The position involves developing sophisticated machine learning models for autonomous vehicle systems, working with cutting-edge technology in perception, decision-making, and control systems. You'll be responsible for creating robust data pipelines, implementing advanced algorithms for object detection and path planning, and ensuring safety standards are met.
This is an ideal role for someone passionate about applying machine learning to real-world robotics challenges. You'll have the opportunity to work with various sensors (LiDAR, cameras, radar) and build simulation environments to test and validate autonomous systems. The role offers competitive compensation ($150K-$225K) plus equity, reflecting its senior nature and the significant impact you'll have on the company's success.
The ideal candidate brings 2+ years of experience in machine learning or autonomous systems, with proven expertise in deploying real-world neural networks. You should be well-versed in Python, C++, and PyTorch, with a strong understanding of computer vision and deep learning. This role combines technical excellence with leadership opportunities, as you'll help build and mentor the autonomy team.
Join Coco to be at the forefront of autonomous delivery technology, working in a fast-paced environment where your contributions will directly impact the efficiency and scalability of urban delivery systems.
Responsibilities For Founding ML Engineer
- Develop architecture and implementation of machine learning models for autonomous vehicle systems
- Design and implement algorithms for object detection, sensor fusion, and path planning
- Develop and maintain robust data pipelines for multiple sensors
- Train and optimize deep learning models using simulation and real-world data
- Build simulation environments to test driving scenarios
- Ensure autopilot system safety standards and regulations
- Lead and mentor a high-performance machine learning and autonomy team
Requirements For Founding ML Engineer
- 2+ years experience in machine learning, computer vision, robotics, or autonomous systems
- Proven track record of training and deploying a real world neural network
- Expertise in training and deploying deep learning models
- Excellent programming skills in Python and C++
- Experience in optimizing large-scale ML models
- Strong leadership and communication skills
- Knowledge of autonomous driving systems and techniques (SfM, SLAM, mapping & localization, RL)
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