Fellow - Autonomy (Distinguished Engineer)

Motional; Pittsburgh (Allegheny County); On-site; USD 271,000 - 373,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) with company match

Health savings accounts

Life insurance

Pet insurance

Job summary

Motional is seeking a distinguished Machine Learning Engineer for its Autonomy team in Pittsburgh. The role focuses on developing key features for autonomous driving using machine learning. Candidates should have a deep knowledge of ML and a minimum of 15 years experience in building systems for autonomous vehicles.

The position includes researching deep-learning methods, leading experiments, and collaborating with software engineering teams to deploy models. The salary range is $271,000 - $373,000 per year and includes various benefits.

Qualifications

• 15+ years of experience building ML systems for autonomous vehicles or similar applications.
• Deep understanding of large language models and transformers.
• Experience with DNN training and optimization in major frameworks.

Responsibilities

• Research and implement deep-learning methods for autonomous vehicles.
• Lead experiments and analyze data to evaluate solutions.
• Collaborate with engineering teams to deploy ML models.

Skills

Machine Learning

Deep Neural Networks

Software Development

Analytical Skills

Communication

Education

BS/MS/PhD in relevant field

Tools

PyTorch

TensorFlow

TensorRT

Job description

Motional is seeking a distinguished Machine Learning Engineer to join its Autonomy team in Behaviors. As a member of our team you will develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of prediction, planning, and control problems. The candidate is required to have hands‑on experience and deep knowledge in machine learning. Understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable. You should have strong research, software development, communication, interpersonal, and analytical skills.

What you’ll be doing

• Researching, implementing, and evaluating deep‑learning‑based methods for prediction and planning for Motional’s Autonomous Vehicle products.
• Leading, designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real‑world data.
• Partnering with system software engineering specialists to ship industrial‑strength ML models.
• Communicating and collaborating with multi‑functional teams.

What We’re Looking For

• BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience)
• 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications
• Deep understanding of large language models (LLM) and transformers
• Hands‑on experience building large‑scale production ML systems and deploying them at scale
• Excellent leadership and track record for innovation to help us build the next generation of our ML‑based planning solutions
• Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (PyTorch, TensorFlow, TensorRT, etc.).
• Excellent understanding of the mathematical foundations of machine learning and deep learning.

Bonus Points

• Prior experience as an ML planning lead
• Proven publication record in ML for planning, vision, or related fields
• Prior experience building and deploying vision‑language action or chain‑of‑thought models

Salary Range: $271,000 USD ‑ $373,000 USD

Benefits: Medical, dental, vision, 401(k) with company match, health savings accounts, life insurance, pet insurance, and more.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E‑Verify. All newly‑hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.