Machine Learning Engineer (Mechanical Engineering Practice, Ph.D.)

Machine Learning Engineer (Mechanical Engineering Practice, Ph.D.) ID 2026-2502 Location US-CA-Menlo Park Practice Mechanical Engineering Position Type Full-time Posted Salary Range USD $140,000.00 - USD $160,000.00 /Yr.

Workplace Type On-Site About Exponent Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world.

Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! Key statistics: 950+ Consultants 640+ Ph.D.s 90+ Disciplines 30+ Offices globally Our Opportunity 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 You will have the following skills and qualifications 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. Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process. Salary Range USD $140,000.00 - USD $160,000.00 /Yr.

If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com . Job Locations US-CA-Menlo Park Options Apply for this job online Apply Share Submit a referral to this job Refer Sorry the Share function is not working properly at this moment.