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

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. 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. 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].

Life @ Exponent

To learn more about life at Exponent and our impact, please visit the following links:https://www.exponent.com/careers/life-exponent https://www.exponent.com/company/our-impact

 

Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.  

 

Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference. 

Work Environment

At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for​ building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environmen