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

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

Benefits offered by this job

Life@Exponent benefits

Equal opportunity employer

Job summary

Exponent Inc. in Menlo Park, CA is seeking a Machine Learning Engineer within the Mechanical Engineering Practice to advance consulting capabilities through ML, simulations, and data science for clients inside and outside the firm.

You will collaborate with engineers and clients, perform laboratory work and field inspections, and develop first-principles calculations and ML models. A Ph.D. and Python proficiency are required, with strong communication and leadership potential.

Qualifications

• Ph.D. required and must complete all commitments before employment.
• Specialized knowledge in dynamic systems, robotics, physics engines, data science, machine learning, and foundation AI models.
• Proficiency in Python.
• Experience with version control, software engineering best practices, cloud environments.
• Excellent verbal and written communications skills.
• Strong project ownership and leadership potential.
• Ability to convey technical information to diverse audiences.
• Eligible to work in the United States without sponsorship.

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 work using classical machine learning and deep learning models.
• Performing model evaluation and explanation using data science principles.
• Creating written reports and presentations.

Skills

Python

Communication skills

Project ownership

Team collaboration

Machine learning

Data science

Robotics

Dynamics modeling

Physics engines

Education

Ph.D. in Mechanical Engineering

Ph.D. in Aerospace Engineering

Ph.D. in Systems Engineering

Tools

Git

Cloud environments

Lakehouses

Job description

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 administrators
• 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.

Compensation

Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi‑weekly bonuses for high‑intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

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.

Benefits you will enjoy

Access benefits information on our Life@Exponent page:

https://www.exponent.com/careers/life-exponent

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 [e-mail].

Job Locations

US-CA-Menlo Park