Applied ML Engineer — Mechanical Systems & Robotics

Exponent, Inc; Menlo Park (CA); On-site; USD 140,000 - 160,000; Full time

Job summary

Exponent, Inc. seeks a Machine Learning Engineer in Menlo Park, CA, within the Mechanical Engineering Practice. The role focuses on developing consulting capabilities in ML, data science, and physics-based modelling for diverse clients.

The candidate will contribute to technical work, communications, and building client relationships, with a strong emphasis on project ownership and teamwork.

Qualifications

• Ph.D. required and must complete all Ph.D. commitments before employment.
• Specialized knowledge in dynamic systems, robotics, physics engines, data science, ML, and foundation AI models.
• Proficiency in Python.
• Good to have knowledge of version control and software engineering best practices.

Responsibilities

• Communicating effectively with engineers, managers, clients, and administrators.
• Performing hands-on work in laboratory environments.
• Performing field inspections.
• Performing first-principle analytical calculations.
• Performing numerical simulations using physics engines.
• Performing modelling with classical ML and deep learning models.
• Performing model evaluation and explanation using data science principles.
• Creating written reports and presentations.

Skills

Python

Communication

Teamwork

Project ownership

Git

Education

PhD in Mechanical Engineering

Tools

Physics engines

Job description

Exponent, Inc. seeks a Machine Learning Engineer in Menlo Park, CA, within the Mechanical Engineering Practice. The role focuses on developing consulting capabilities in ML, data science, and physics-based modelling for diverse clients.

The candidate will contribute to technical work, communications, and building client relationships, with a strong emphasis on project ownership and teamwork.