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# Machine Learning Engineer

- **Company:** Exponent
- **Location:** Menlo Park, CA, United States
- **Salary:** $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Dynamical Systems, Python (Programming Language), Machine Learning, Software Construction, Software Engineering, Cloud Platform System, Model Validation, Software Version Control
- **Published:** July 15, 2026
- **Apply:** https://www.dice.com/job-detail/e4536c5c-4d48-48e1-b736-889ea8759a68

## About the Role

* Ph.D. in Mechanical Engineering, Aerospace Engineering, Systems Engineering, and/or similar fields. This is a full-time position, and we are unable to consider candidates that will not be finished with all Ph.D. level commitments before beginning employment with Exponent.
 * Specialized knowledge in dynamic systems, robotics, physics engine, data science, machine learning, and foundation AI models
 * Proficiency in Python
 * Good to have working knowledge in version control, software engineering best practices, software development in lakehouses and/or cloud environments
 * Excellent verbal and written communications skills
 * Excellent project ownership characteristics
 * Ability to work within project teams with a strong desire to contribute, have potential for technical and project management leadership, as well as a desire to seek new client relationships to grow a client base
 * Must be able to convey technical information to individuals in engineering, business, legal and related industries
 * Presently legally authorized to work in the United States. No immigration sponsorship or processing required.

## Description

We are currently seeking a Machine Learning Engineer for our Mechanical Engineering Practice in Menlo Park, CA. In this role, you will be expected to grow in the key aspects of consulting, including technical expertise and effective spoken and written communications, to develop a consulting practice serving clients both within and outside the firm.

You will be responsible for

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


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