AI Researcher

Group Research and Development (GRD) performs strategic and applied research for DNV, focusing on knowledge development through collaborations with academia and industry, providing thought leadership through external publications and forecasts, and creating scientific legitimacy for DNV services. 

A major focus for GRD is shaping the future of AI assurance. The AI Assurance research program focuses on both developing AI for assurance and assurance of AI, building expertise across AI, digital transformation, risk, and assurance science. The program is organized into several teams across multiple locations. 

Would you like to work on advancing assurance methods for embodied AI? 

We are seeking an AI researcher to join our newly established AI Research Center in Oakland/Berkeley. In this role, you will contribute directly to activities aimed at improving the safety and reliability of embodied AI systems – intelligent systems that interact with the physical world, such as robots, drones, and autonomous vehicles.

This position is based at DNV’s Oakland, CA office and will initially be located on the UC Berkeley campus. Additional role-specific requirements will be discussed during the interview process.

What You’ll do

• Contribute to ongoing research projects and help define new research directions 
• Engage with universities to maintain and strengthen ongoing and future research collaborations
• Develop internal prototypes to test and evaluate methods relevant to embodied AI assurance 
• Publish scientific results and attend conferences to build new knowledge and share DNV’s work

Responsibilities

• Generous paid time off (vacation, sick days, company holidays, personal days)
• Multiple Medical and Dental benefit plans to choose from, Vision benefits
• Spending accounts – FSA, Dependent Care, Commuter Benefits, company-seeded HSA
• Employer-paid, therapist-led, virtual care services through Talkspace
• 401(k) with company match
• Company provided life insurance, short-term, and long-term disability benefits
• Education reimbursement program
• Flexible work schedule with hybrid opportunities
• Charitable Matched Giving and Volunteer Rewards through our Impact Program
• Volunteer time off (VTO) paid by the company
• Career advancement opportunities 

DNV provides a reasonable range of compensation for this role. The actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific location. For the states of California, Washington, New York, Washington, D.C., Illinois, and Maryland only, the starting pay range for this role is $75,000 - $155,000.

**Benefits vary based on position, tenure, location, and employee election**

DNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with a disability. US applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department ([email protected]). Information received relating to accommodation will be addressed confidentially. 

For more information

 https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal

Qualifications

What is Required

• Bachelors in AI, physics, mathematics/statistics, or computer science (or relevant, similar education) is required
• Proven experience in machine learning model development and digital tool implementation. 
• Excellent presentation skills, with the ability to communicate complex concepts effectively to diverse audiences.
• Strong written and verbal English communication skills 
• We conduct pre-employment drug and background screening

What is Preferred

• Master’s or PhD in Artificial Intelligence, Physics, Mathematics, Statistics, Computer Science, or a related field.
• Strong understanding of AI technologies and assurance principles.
• Research experience in robotics, control systems, deep learning, or other fields related to embodied AI safety.

*Immigration-related employment benefits, for example, visa sponsorship, are not available for this position*