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

Exponent Inc.•Menlo Park, CA

2d•$140,000 - $160,000•Onsite

About The Position

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. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. 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.

Requirements

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
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 and processing required.

Nice To Haves

Good to have working knowledge in version control, software engineering best practices, software development in lakehouses and/or cloud environments

Responsibilities

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