We9re looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet.
Responsibilities- Use complex map and perception sensor output to develop novel deep learning models for our planning stack.
- Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.
- Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.
- Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.
- Ensure that your work is performed in accordance with the company9s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
- Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Required Skills- BS, MS, or PhD in Software, Robotics, or related field
- 4+ years of machine learning engineering experience for robotics applications
- Experience developing high-quality software from design and implementation to testing and deployment.
- Expertise with Python, willingness to do some C++ development as needed.
- Experience training with modern frameworks (e.g. PyTorch)
- A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.
- Hands-on familiarity with cloud data ingestion pipelines
- Strong communication and collaborative skills
Salary Range- $130,000 - $220,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
Your opportunities joining PlusAIWork, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
