Senior/Staff Machine Learning Engineer, Planning

Plus; Santa Clara (CA); On-site; USD 130,000 - 220,000; Full time

Job summary

A leading company in autonomous driving solutions is seeking a Machine Learning Engineer to work on cutting-edge ML-based planning algorithms. This role involves developing deep learning models and ensuring safety checks while collaborating with a dynamic team in a fast-paced environment.

Benefits

Catered free lunch

Unlimited snacks and beverages

Highly competitive salary and benefits package

401(k) plan

Qualifications

• 4+ years of machine learning engineering experience for robotics applications.
• Experience in developing high-quality software through design, implementation, testing, and deployment.
• Hands-on familiarity with cloud data ingestion pipelines.

Responsibilities

• Develop novel deep learning models for planning stack using map and perception sensor output.
• Design safety checks to ensure driving trajectories are feasible and follow road rules.
• Incorporate the latest research advancements into model development.

Skills

Python

Machine Learning

Deep Learning

Communication

Collaboration

Education

BS, MS, or PhD in Software, Robotics, or related field

Tools

PyTorch

C++

Job description

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

We’re 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 company’s 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 Plus

Work, 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.