Fellow, Machine Learning - Autonomy

Description :

Protingent Staffing has an exciting remote (sitting anywhere in the US) Machine Learning Direct Hire opportunity.

Job Responsibilities :

• 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.

Job Qualifications :

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.

Preferred Qualifications :

Prior experience as a 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

Job Details :

Direct Hire

Location : Remote

Pay Rate Range : $271,000—$373,000 / year