Machine Learning Engineer; Mechanical Engineering Practice, Ph.D

Responsibilities

• Communicate effectively with other engineers, managers, clients, and administrative reports.
• Perform hands‑on work in laboratory environments.
• Perform field inspections.
• Perform first‑principle analytical calculations.
• Perform numerical simulations using physics engines.
• Model using classical machine learning and deep learning models.
• Evaluate and explain models using data science principles.
• Create written reports and presentations.

• Ph.D. in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or a similar field (must be completed prior to employment).
• Specialized knowledge in dynamic systems, robotics, physics engines, data science, machine learning, and foundation AI models.
• Proficiency in Python.
• Working knowledge of version control, software engineering best practices, software development in lake houses and/or cloud environments (preferred).
• Excellent verbal and written communication skills.
• Excellent project ownership characteristics.
• Ability to work within project teams, with a strong desire for technical and project leadership, and a desire to develop new client relationships.
• Ability to convey technical information to audiences in engineering, business, legal, and related industries.
• Legally authorized to work in the United States (no immigration sponsorship or processing required).

Base salary range: USD $ – $ per year, commensurate with experience and qualifications.

Total compensation includes base salary, bi‑weekly bonuses for high‑intensity efforts, annual bonus, and 401(k) employer contribution of 7% of base salary.

Exponent provides a comprehensive benefits package which includes health, dental, vision, life insurance, disability coverage, 401(k) plans, paid time off, and additional employee resources. For full benefits details, please see Exponent’s Life@Exponent page.

Exponent is a proud equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. If you need assistance or accommodation due to a disability, you may email us at HR‑

Menlo Park, CA, USA (On‑site). Travel to client sites as required.

Full‑time.