5,349 AI Emerging Technology jobs in the United States

Overview

Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, and robotics into real-world automotive innovation at global scale.

As a Staff Machine Learning Engineer on the AI Research team, you will serve as a founding member guiding GM’s most ambitious AI initiatives. You will participate in the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world-class team of scientists and engineers, and represent GM in the global AI community.

• You will participate in a unique work environment which combines leading edge AI/ML research with immediate applications to exciting opportunities to make safer, more efficient cars. We have close working connections to world class engineers in the automotive design space to jointly develop novel applications of AI tools in this space.

• Evaluate, prototype and implement impactful AI solutions to design and manufacturing operations at GM. Potential applications include the use of foundation models to large scale design tasks, using generative AI technologies for defining robotics tasks and the application of generative AI to interface with, and develop new technologies for the design and modeling physical systems.

• Develop plans and execute projects to integrate AI into GM’s manufacturing, vehicle design, software development, customer support and other products and processes.

• Be on the forefront of AI models and architecture, making informed decisions on technology adoption and investment.

• Participating in the research, design, and prototyping of advanced AI models (foundation models, generative AI, multimodal architectures) applied to automotive and robotics domains.

• Translate breakthrough AI research into scalable, production-ready systems across design, manufacturing, software, and customer experience.

• Join a high-performing team of machine learning researchers and engineers.

• Collaborate with product, design, and engineering leaders to identify high-impact AI opportunities.

• Represent GM externally through publications, open-source contributions, patents, and participation in leading AI conferences.

• PhD or equivalent in CS/EE

• 5+ years of experience in AI/ML research and applied development.

• Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).

• Proven track record of leading AI projects from research to production at scale.

• Strong programming skills in Python and proficiency in one or more systems languages (C++/Go/Java).

• Experience deploying AI systems on cloud-based GPUs/TPUs (AWS, Azure, GCP).

• Recognized thought leader in the AI/ML community with demonstrated impact (research breakthroughs, patents, or widely adopted technologies).

• Exceptional ability to mentor, influence, and collaborate across technical and business teams.

• Demonstrated expertise in developing and training multimodal foundation models

• Demonstrated research impact in AI/ML technologies either through important publications in first tier conferences or demonstrated contribution to industry leading systems.

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

• The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is 198,000 to 250,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Relocation: This job may be eligible for relocation benefits.

#LI-CX1

Overview

Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, and robotics into real-world automotive innovation at global scale.

As a Principal Machine Learning Engineer – AI Research, you will serve as a senior technical leader guiding GM’s most ambitious AI initiatives. You will lead the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape GM’s AI research agenda, mentor a world-class team of scientists and engineers, and represent GM in the global AI community.

• Participate in a unique work environment which combines leading edge AI/ML research with immediate applications to exciting opportunities to make safer, more efficient cars. We have close working connections to world class engineers in the automotive design space to jointly develop novel applications of AI tools in this space.
• Evaluate, prototype and implement impactful AI solutions to design and manufacturing operations at GM. Potential applications include the use of foundation models to large scale design tasks, using generative AI technologies for defining robotics tasks and the application of generative AI to interface with, and develop new technologies for the design and modeling physical systems.
• Develop plans and execute projects to integrate AI into GM’s manufacturing, vehicle design, software development, customer support and other products and processes

• Be on the forefront of AI models and architecture, making informed decisions on technology adoption and investment

• Assist with hiring and mentoring a team of gifted AI scientists and engineers.

• Lead the research, design, and prototyping of advanced AI models (foundation models, generative AI, multimodal architectures) applied to automotive and robotics domains.

• Translate breakthrough AI research into scalable, production-ready systems across design, manufacturing, software, and customer experience.

• Define GM’s technical strategy for adopting and investing in AI technologies under the Chief AI Officer.

• Mentor and grow a high-performing team of machine learning researchers and engineers.

• Collaborate with product, design, and engineering leaders to identify high-impact AI opportunities.

• Represent GM externally through publications, open-source contributions, patents, and participation in leading AI conferences.

Overview

Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, and robotics into real-world automotive innovation at global scale.

As a Staff Machine Learning Engineer on the AI Research team, you will serve as a founding member guiding GM’s most ambitious AI initiatives. You will participate in the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world-class team of scientists and engineers, and represent GM in the global AI community.

• You will participate in a unique work environment which combines leading edge AI/ML research with immediate applications to exciting opportunities to make safer, more efficient cars. We have close working connections to world class engineers in the automotive design space to jointly develop novel applications of AI tools in this space.
• Evaluate, prototype and implement impactful AI solutions to design and manufacturing operations at GM. Potential applications include the use of foundation models to large scale design tasks, using generative AI technologies for defining robotics tasks and the application of generative AI to interface with, and develop new technologies for the design and modeling physical systems.
• Develop plans and execute projects to integrate AI into GM’s manufacturing, vehicle design, software development, customer support and other products and processes.
• Be on the forefront of AI models and architecture, making informed decisions on technology adoption and investment.
• Participate in the research, design, and prototyping of advanced AI models (foundation models, generative AI, multimodal architectures) applied to automotive and robotics domains.
• Translate breakthrough AI research into scalable, production-ready systems across design, manufacturing, software, and customer experience.
• Join a high-performing team of machine learning researchers and engineers.
• Collaborate with product, design, and engineering leaders to identify high-impact AI opportunities.
• Represent GM externally through publications, open-source contributions, patents, and participation in leading AI conferences.

• PhD or equivalent in CS/EE
• 5+ years of experience in AI/ML research and applied development.
• Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).
• Proven track record of leading AI projects from research to production at scale.
• Strong programming skills in Python and proficiency in one or more systems languages (C++/Go/Java).
• Experience deploying AI systems on cloud-based GPUs/TPUs (AWS, Azure, GCP).
• Recognized thought leader in the AI/ML community with demonstrated impact (research breakthroughs, patents, or widely adopted technologies).
• Exceptional ability to mentor, influence, and collaborate across technical and business teams.

• Demonstrated expertise in developing and training multimodal foundation models
• Demonstrated research impact in AI/ML technologies either through important publications in first tier conferences or demonstrated contribution to industry leading systems.

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

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is 198,000 to 250,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

This job may be eligible for relocation benefits.

#LI-CX1

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.

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. Every day, we want every employee to feel they belong to one General Motors team.

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at . 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.

Overview

Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, and robotics into real-world automotive innovation at global scale.

As a Staff Machine Learning Engineer on the AI Research team, you will serve as a founding member guiding GM’s most ambitious AI initiatives. You will participate in the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world-class team of scientists and engineers, and represent GM in the global AI community.

• You will participate in a unique work environment which combines leading edge AI/ML research with immediate applications to exciting opportunities to make safer, more efficient cars. We have close working connections to world class engineers in the automotive design space to jointly develop novel applications of AI tools in this space.

• Evaluate, prototype and implement impactful AI solutions to design and manufacturing operations at GM. Potential applications include the use of foundation models to large scale design tasks, using generative AI technologies for defining robotics tasks and the application of generative AI to interface with, and develop new technologies for the design and modeling physical systems.

• Develop plans and execute projects to integrate AI into GM’s manufacturing, vehicle design, software development, customer support and other products and processes.

• Be on the forefront of AI models and architecture, making informed decisions on technology adoption and investment.

• Participating in the research, design, and prototyping of advanced AI models (foundation models, generative AI, multimodal architectures) applied to automotive and robotics domains.

• Translate breakthrough AI research into scalable, production-ready systems across design, manufacturing, software, and customer experience.

• Join a high-performing team of machine learning researchers and engineers.

• Collaborate with product, design, and engineering leaders to identify high-impact AI opportunities.

• Represent GM externally through publications, open-source contributions, patents, and participation in leading AI conferences.

• PhD or equivalent in CS/EE

• 5+ years of experience in AI/ML research and applied development.

• Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).

• Proven track record of leading AI projects from research to production at scale.

• Strong programming skills in Python and proficiency in one or more systems languages (C++/Go/Java).

• Experience deploying AI systems on cloud-based GPUs/TPUs (AWS, Azure, GCP).

• Recognized thought leader in the AI/ML community with demonstrated impact (research breakthroughs, patents, or widely adopted technologies).

• Exceptional ability to mentor, influence, and collaborate across technical and business teams.

• Demonstrated expertise in developing and training multimodal foundation models

• Demonstrated research impact in AI/ML technologies either through important publications in first tier conferences or demonstrated contribution to industry leading systems.

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

• The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is 198,000 to 250,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Relocation: This job may be eligible for relocation benefits.

#LI-CX1

Overview

Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, and robotics into real-world automotive innovation at global scale.

As a Principal Machine Learning Engineer – AI Research, you will serve as a senior technical leader guiding GM’s most ambitious AI initiatives. You will lead the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape GM’s AI research agenda, mentor a world-class team of scientists and engineers, and represent GM in the global AI community.

• Participate in a unique work environment which combines leading edge AI/ML research with immediate applications to exciting opportunities to make safer, more efficient cars. We have close working connections to world class engineers in the automotive design space to jointly develop novel applications of AI tools in this space.
• Evaluate, prototype and implement impactful AI solutions to design and manufacturing operations at GM. Potential applications include the use of foundation models to large scale design tasks, using generative AI technologies for defining robotics tasks and the application of generative AI to interface with, and develop new technologies for the design and modeling physical systems.
• Develop plans and execute projects to integrate AI into GM’s manufacturing, vehicle design, software development, customer support and other products and processes

• Be on the forefront of AI models and architecture, making informed decisions on technology adoption and investment

• Assist with hiring and mentoring a team of gifted AI scientists and engineers.

• Lead the research, design, and prototyping of advanced AI models (foundation models, generative AI, multimodal architectures) applied to automotive and robotics domains.

• Translate breakthrough AI research into scalable, production-ready systems across design, manufacturing, software, and customer experience.

• Define GM’s technical strategy for adopting and investing in AI technologies under the Chief AI Officer.

• Mentor and grow a high-performing team of machine learning researchers and engineers.

• Collaborate with product, design, and engineering leaders to identify high-impact AI opportunities.

• Represent GM externally through publications, open-source contributions, patents, and participation in leading AI conferences.

Company

Perplexity AI

• Perplexity is seeking experienced AI Research/Machine Learning Engineers and Scientists to own our Agent Products (Answering Agent, Deep Research, the Comet Browser Agent). Applicants should be well versed in all aspects of LLM prompting and training, code execution and tool-calling in order to keep redefining what is possible with advanced retrieval.
• Design a production and training system that allows for an autonomous LLM-powered agent to perform various tools across web, browsing, retrieval, code execution in order to answer a user’s open-ended prompt / query and return a high quality answer with citations.
• Partner with the Core Research & Post-Training Team to refine the expansion, reformulation, querying, and summarization of our models against Perplexity’s retrieval index.
• Devise a well-distributed set of multi-turn evaluations that help hill-climb and capture regressions for our browser and deep research agents.
• Improve the speed and quality of our codebase and engineering processes to ensure we consistently deliver an amazing product experience.
• Collaborate with Perplexity GTM leaders as well as a wide breadth of stakeholders (e.g., Motorola, TripAdvisor) to develop integrated product solutions that span across a wide breadth of research verticals like Travel, Retail, etc.

• Proven research experience with large-scale LLMs and Deep Learning systems
• Strong post-training skills, familiarity with both supervised and reinforcement learning techniques, including reward formulation and evaluation
• A strong consumer product intuition, especially for Agent products, with a willingness to unblock oneself at any level of the stack and take ownership of the end-product experience
• An ability to make tradeoffs in developing an end-to-end agent, including training technique, model architecture, and prompting
• Minimum of 5 years of working on relevant deep learning research areas

• Level of experience: Senior (5+ years of experience)

Company

Perplexity AI

• Perplexity is seeking experienced AI Research/Machine Learning Engineers and Scientists to own our Agent Products (Answering Agent, Deep Research, the Comet Browser Agent). Applicants should be well versed in all aspects of LLM prompting and training, code execution and tool-calling in order to keep redefining what is possible with advanced retrieval.
• Design a production and training system that allows for an autonomous LLM-powered agent to perform various tools across web, browsing, retrieval, code execution in order to answer a user’s open-ended prompt / query and return a high quality answer with citations.
• Partner with the Core Research & Post-Training Team to refine the expansion, reformulation, querying, and summarization of our models against Perplexity’s retrieval index.
• Devise a well-distributed set of multi-turn evaluations that help hill-climb and capture regressions for our browser and deep research agents.
• Improve the speed and quality of our codebase and engineering processes to ensure we consistently deliver an amazing product experience.
• Collaborate with Perplexity GTM leaders as well as a wide breadth of stakeholders (e.g., Motorola, TripAdvisor) to develop integrated product solutions that span across a wide breadth of research verticals like Travel, Retail, etc.

• Proven research experience with large-scale LLMs and Deep Learning systems
• Strong post-training skills, familiarity with both supervised and reinforcement learning techniques, including reward formulation and evaluation
• A strong consumer product intuition, especially for Agent products, with a willingness to unblock oneself at any level of the stack and take ownership of the end-product experience
• An ability to make tradeoffs in developing an end-to-end agent, including training technique, model architecture, and prompting
• Minimum of 5 years of working on relevant deep learning research areas

• Level of experience: Senior (5+ years of experience)

Overview

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 any other frequency dictated by the business.

Location: Mt. View, California - Mountain View Technical Center

About the Team : Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real-world automotive innovation at global scale.

The Role : As a Senior Machine Learning Engineer, you will lead the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will actively participate in the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world-class team of scientists and engineers, and represent GM in the global AI community.

• Design and implement novel machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization.
• Develop end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors).
• Create foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types.
• Collaborate with cross functional teams including robotics engineers, SMEs and product teams to understand requirements and translate those to develop ML systems for production systems.
• Develop data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings.
• Stay current with state-of-the-art methods in ML/AI and share knowledge through internal tech talks and presentations.

• PhD in relevant field or related discipline (STEM focused).
• Post PhD experience in AI/ML, demonstrating advanced AI/ML skill.
• Expert level knowledge about modern deep learning architectures—Transformers, Diffusion Models, CNNs and model training techniques at scale.
• Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, TensorFlow, Keras or JAX).
• Strong programming skills in Python and familiarity with one or more of systems languages (C++/ Java).
• Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field.
• Ability to decompose ambiguous problems into tractable research questions and follow rigorous experimental methodology including hypothesis formation, data collection, evaluation and statistical analysis.

• Experience with anomaly detection and predictive maintenance applications.
• Experience with reinforcement learning for robotic control or process optimization.
• Experience training large scale end-to-end multimodal deep learning models.
• Demonstrated research impact in AI/ML technologies either through important publications in top-tier conferences or demonstrated contribution to industry leading systems.

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $140,000-$195,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
• This job may be eligible for relocation benefits.

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.

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. Every day, we want every employee to feel they belong to one General Motors team.

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at . 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.

Overview

Work Arrangement: hybrid. The successful candidate is expected to report to the office three times per week or as dictated by the business.

Location - Mt. View, California - Mountain View Technical Center

Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real-world automotive innovation at global scale.

As a Senior Machine Learning Engineer, you will lead the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will actively participate in the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world-class team of scientists and engineers, and represent GM in the global AI community.

• Design and implement novel machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization
• Develop end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors)
• Create foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types
• Collaborate with cross functional teams including robotics engineers, SMEs and product teams to understand requirements and translate those to develop ML systems for production systems
• Develop data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings
• Stay current with state-of-the-art methods in ML/AI and share knowledge through internal tech talks and presentations

• PhD in relevant field or related discipline (STEM focused)
• Post PhD experience in AI/ML, demonstrating advanced AI/ML skill
• Expert level knowledge about modern deep learning architectures—Transformers, Diffusion Models, CNNs and model training techniques at scale
• Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, Tensorflow, Keras or JAX)
• Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java)
• Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field
• Ability to decompose ambiguous problems into tractable research questions and follow rigorous experimental methodology including hypothesis formation, data collection, evaluation and statistical analysis

• Experience with anomaly detection and predictive maintenance applications
• Experience with reinforcement learning for robotic control or process optimization
• Experience training large scale end-to-end multimodal deep learning models
• Demonstrated research impact in AI/ML technologies either through important publications in top-tier conferences or demonstrated contribution to industry leading systems.

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $140,000- $195,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
• This job may be eligible for relocation benefits.

#GMAI-B