Senior Researcher – AI and Controls, Reinforcement Learning

Job Description

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or other frequency dictated by the business. 

The Role:

In this Senior Researcher role, you will lead research and/or experiments to validate research ideas in developing. Write timely and high-quality research reports, external publications, and records of invention to document new ideas and research results in your area of research.

As a part of the GM Research team, you will develop AI/ML/Controls technologies that will change the future of mobility and have the chance to collaborate with world-class universities / industry partners while publishing research outcomes internally and externally.

What You'll Do

• Explore, invent, innovate, implement, evaluate and test algorithms as an independent yet integral member of a research team
• Identify research gaps, propose, plan and execute complex research projects
• Maintain state-of-the-art technical expertise in AI/ML/Controls
• Generate intellectual property, document results and publish papers
• Demonstrate strong interpersonal skills and ability to work in a team environment including cross-functional global teams and research Universities
• Develop requirements and evaluation metrics for AI/ML/Controls
• Travel to GM’s Milford location as needed to conduct experiments and testing

Additional Job Description

Your Skills & Abilities (Required Qualifications)

• PhD or MSc with 3+ years of experience in AI, ML, computer science, engineering, physics or relevant areas.
• Expert-level knowledge in one or more of these areas: deep learning, autonomous agents, large-scale multiagent systems, prediction, distributed optimization, and reinforcement learning
• Must have experience creating and implementing reinforcement learning algorithms
• Expertise in manipulating high-volume, high-dimensional data from varying sources with machine learning techniques
• Experience in prototyping algorithms, implementing and testing software on hardware
• Programming background: Python, AI/ML environments (PyTorch, TensorFlow, sklearn, etc.)
• Strong analytical capabilities
• Excellent verbal/written communication in English along with strong interpersonal skills
• Passion for applying AI and Controls to impact the future of mobility

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience in applying reinforcement learning to real world problems.
• Experience in applying ML techniques to control theory problems.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; 
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.  If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.​