36 Frontier AI jobs in the United States

Description

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll contribute to breakthrough foundation models run at production scale. As a Software Development Engineer embedded in our science team, you'll be instrumental in transforming novel research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.

In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.

Key job responsibilities

• Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools

• Collaborate closely with scientists to influence model architectures for optimal hardware utilization

• Design and implement efficient compilation pipelines for complex transformer architectures

• Develop comprehensive benchmarking frameworks to measure and optimize model performance

• Build robust monitoring solutions to ensure reliable model serving at scale

• Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers

• Maintain high engineering standards through proper testing, documentation, and code review practices

A day in the life

• Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques

• Partner with scientists to analyze model architectures and propose efficiency improvements

• Implement and benchmark various optimization strategies for large-scale models

• Debug performance bottlenecks using NVIDIA profiling tools

• Participate in technical discussions about new model architectures with the science team

• Design and maintain performance monitoring systems for production deployment

• Prototype new acceleration approaches using emerging compilation frameworks

About the team

At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.

What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.

Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

Basic Qualifications

• 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll contribute to breakthrough foundation models run at production scale. As a Software Development Engineer embedded in our science team, you'll be instrumental in transforming novel research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.

In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.

Key job responsibilities

• Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools

• Collaborate closely with scientists to influence model architectures for optimal hardware utilization

• Design and implement efficient compilation pipelines for complex transformer architectures

• Develop comprehensive benchmarking frameworks to measure and optimize model performance

• Build robust monitoring solutions to ensure reliable model serving at scale

• Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers

• Maintain high engineering standards through proper testing, documentation, and code review practices

A day in the life

• Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques

• Partner with scientists to analyze model architectures and propose efficiency improvements

• Implement and benchmark various optimization strategies for large-scale models

• Debug performance bottlenecks using NVIDIA profiling tools

• Participate in technical discussions about new model architectures with the science team

• Design and maintain performance monitoring systems for production deployment

• Prototype new acceleration approaches using emerging compilation frameworks

About the team

At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.

What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.

Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

Basic Qualifications

• 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll contribute to breakthrough foundation models run at production scale. As a Software Development Engineer embedded in our science team, you'll be instrumental in transforming novel research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.
In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.
Key job responsibilities
- Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools
- Collaborate closely with scientists to influence model architectures for optimal hardware utilization
- Design and implement efficient compilation pipelines for complex transformer architectures
- Develop comprehensive benchmarking frameworks to measure and optimize model performance
- Build robust monitoring solutions to ensure reliable model serving at scale
- Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers
- Maintain high engineering standards through proper testing, documentation, and code review practices
A day in the life
- Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques
- Partner with scientists to analyze model architectures and propose efficiency improvements
- Implement and benchmark various optimization strategies for large-scale models
- Debug performance bottlenecks using NVIDIA profiling tools
- Participate in technical discussions about new model architectures with the science team
- Design and maintain performance monitoring systems for production deployment
- Prototype new acceleration approaches using emerging compilation frameworks
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between research and real-world deployment at Amazon scale.
In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.
Key job responsibilities
- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
- Drive independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
- Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments
- Collaborate with platform teams to optimize and scale models for real-world applications
- Contribute to the team's technical strategy and help shape our approach to next-generation robotics challenges
A day in the life
- Design and implement novel foundation model architectures, leveraging our extensive compute infrastructure to train and evaluate at scale
- Collaborate with our world-class research team to solve complex technical challenges
- Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems
- Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists
- Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas
- Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience programming in Java, C++, Python or related language
- Publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL)
- Experience developing and implementing deep learning models
- Strong programming skills in Python and PyTorch/JAX
- Track record of solving complex technical problems
Preferred Qualifications
- Experience using Unix/Linux
- First-author publications at major ML/robotics conferences
- Experience with foundation models or large language models
- Background in computer vision, robotics, or related fields
- Experience with sim2real transfer or multi-task learning
- Familiarity with distributed training systems
- Track record of deploying ML models in production environments
- Experience with large-scale machine learning systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll contribute to breakthrough foundation models run at production scale. As a Software Development Engineer embedded in our science team, you'll be instrumental in transforming novel research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.
In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.
Key job responsibilities
- Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools
- Collaborate closely with scientists to influence model architectures for optimal hardware utilization
- Design and implement efficient compilation pipelines for complex transformer architectures
- Develop comprehensive benchmarking frameworks to measure and optimize model performance
- Build robust monitoring solutions to ensure reliable model serving at scale
- Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers
- Maintain high engineering standards through proper testing, documentation, and code review practices
A day in the life
- Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques
- Partner with scientists to analyze model architectures and propose efficiency improvements
- Implement and benchmark various optimization strategies for large-scale models
- Debug performance bottlenecks using NVIDIA profiling tools
- Participate in technical discussions about new model architectures with the science team
- Design and maintain performance monitoring systems for production deployment
- Prototype new acceleration approaches using emerging compilation frameworks
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between research and real-world deployment at Amazon scale.
In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.
Key job responsibilities
- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
- Drive independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
- Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments
- Collaborate with platform teams to optimize and scale models for real-world applications
- Contribute to the team's technical strategy and help shape our approach to next-generation robotics challenges
A day in the life
- Design and implement novel foundation model architectures, leveraging our extensive compute infrastructure to train and evaluate at scale
- Collaborate with our world-class research team to solve complex technical challenges
- Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems
- Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists
- Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas
- Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience programming in Java, C++, Python or related language
- Publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL)
- Experience developing and implementing deep learning models
- Strong programming skills in Python and PyTorch/JAX
- Track record of solving complex technical problems
Preferred Qualifications
- Experience using Unix/Linux
- First-author publications at major ML/robotics conferences
- Experience with foundation models or large language models
- Background in computer vision, robotics, or related fields
- Experience with sim2real transfer or multi-task learning
- Familiarity with distributed training systems
- Track record of deploying ML models in production environments
- Experience with large-scale machine learning systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Join to apply for the Managing Partner, Frontier AI role at Labelbox

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Shape the Future of AI

At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

Shape the Future of AI

At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

About Labelbox

We're the only company offering three integrated solutions for frontier AI development:

• Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
• Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models
• Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
  
  

Why Join Us

• High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
• Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
  
  

Role Overview

We are looking for a passionate and experienced sales leader who is excited to work at the forefront of AI innovation. Youll engage with some of the top AI labs in the world, navigate complex enterprise sales cycles, and craft tailored AI solutions that push the boundaries of whats possible.

If youre a strategic thinker, a skilled communicator, and thrive in a fast-moving, high-impact environment, this role is for you.

Your Impact

• Develop a Sales Pipeline: Identify key target accounts interested in generative AI solutions and create customized outreach strategies to build strong relationships.
• Strategically Map Stakeholders: Identify decision-makers in AI adoption and devise a plan to secure their buy-in for generative AI services.
• Lead and Manage the Sales Cycle: Tailor pitches and AI product demos to address the specific needs and challenges of each client.
• Ensure Client Satisfaction: Collaborate with the Customer Success team during AI pilot phases to ensure a seamless transition to long-term AI service contracts.
• Expand Client Accounts: Coordinate post-sales efforts to ensure successful AI deployment, enhance customer experience, and manage account growth and renewals.
• Enhance Go-to-Market Strategy: Develop compelling AI demos, sales collateral, and tools to optimize and scale the generative AI sales process.
  
  

What You Bring

• 5+ years of closing sales experience at a technology company and experience closing contracts with minimum $1M+ ACV.
• Experience managing a consultative sales cycle with Executives at Fortune 500 companies.
• Highly organized and autonomous.
• Entrepreneurial and self-motivated.
• Experience selling data, AI, or a technical product to data scientists, engineering leaders, and C-level executives.
• Experience running the full sales cycle including strong qualification, creating proposals, negotiating contracts, dealing with procurement, and customer success.
• Familiar with Salesforce and sales prospecting tools.
• An excellent verbal and written communicator.
  
  

Sales at Labelbox

At Labelbox Sales, you'll be at the forefront of the AI revolution, partnering with leading AI labs and Fortune 500 enterprises to shape the future of artificial intelligence. Our sales team combines deep technical understanding with strategic consulting skills to help organizations unlock the full potential of AI. We pride ourselves on being trusted advisors who truly understand the complexities of AI infrastructure and can guide customers through their AI journey. Our sales culture is entrepreneurial and collaborative, where creativity and strategic thinking are highly valued. You'll have the opportunity to work on groundbreaking deals that define new categories in the AI industry, backed by a product that delivers real, measurable value to customers.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range

$50,000 250,000 USD

Life at Labelbox

• Location: Join our dedicated tech hubs in San Francisco or Wrocaw, Poland
• Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
• Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
• Growth: Career advancement opportunities directly tied to your impact
• Vision: Be part of building the foundation for humanity's most transformative technology
  
  

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Your Personal Data Privacy : Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelboxs Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Business Development and Sales
• Industries Software Development

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Position Description

RAND's Meselson Center, part of the Global and Emerging Risks (GER) division, is seeking an accomplished technical leader to drive our ambitious frontier AI security research agenda. As Research Lead - Securing Frontier AI, you'll direct a comprehensive research portfolio focused on ensuring that the world's most important AI systems are appropriately secured and addressing critical challenges at the intersection of AI, information security, and national security.

Job Type

Term (Fixed Term)

Position Description

RAND's Meselson Center, part of the Global and Emerging Risks (GER) division, is seeking an accomplished technical leader to drive our ambitious frontier AI security research agenda. As Research Lead - Securing Frontier AI, you'll direct a comprehensive research portfolio focused on ensuring that the world's most important AI systems are appropriately secured and addressing critical challenges at the intersection of AI, information security, and national security.

You will be responsible for managing significant research budgets and personnel, overseeing complex technical research and policy analysis projects, and leading multidisciplinary teams of policy researchers, engineers, and scientists. Your work will shape recommendations for the White House, regulatory agencies, the intelligence community, other national governments, and industry leaders.

Your team will communicate findings to both technical and non-technical audiences through quick-turnaround policy briefs and detailed technical analyses. A recent example of one of our research products is the Securing AI Model Weights report, which explored protecting frontier AI model weights from theft and misuse.

This position is structured as a focused two-year appointment to create the urgency needed to drive ambitious change in this rapidly evolving field. Every day of your tenure will count toward achieving ambitious projects in AI security. The appointment may be renewed for an additional year, with options for longer-term employment at RAND thereafter.

RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As a Research Lead - Securing Frontier AI, you'll have access to RAND's leading researchers, extensive government and industry connections, and world-class analytical resources.

Qualifications

All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity.

Required

• 6+ years of technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields
• 6+ years of technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members
• Demonstrated ability to successfully lead complex projects to completion
• Proficiency in Python, Java, C/C++, or other popular programming languages
• Ability to develop rigorous and comprehensive threat models and identify potential system vulnerabilities
• Strong ability to communicate effectively in English, both verbally and in writing
• Ability to reason about policy options given different technical considerations
• Ability to work effectively in a collaborative, multidisciplinary environment
• Fluency with MS Office suite
  
  

Preferred

• Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience
• Experience with red team operations or offensive cyber capabilities development
• Understanding of advanced persistent threat (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them
• Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations
• Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes
• Experience working in or with government on cybersecurity policy
• Experience with advising non-technical stakeholders on security topics
• Familiarity with the AI/ML hardware stack (e.g. GPUs, TPUs, data center design)
• Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray)
• Experience working on AI research, ML model training, or model deployment
• Experience with securing AI systems
  
  

Education Requirements

RAND is hiring a Research Lead at either the specialist or expert level of experience. Minimum education requirements at the specialist level include:

A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with at least 3 years of relevant professional experience is required.

OR

A Masters degree in the fields listed above with at least 6 years of relevant professional experience, is required.

OR

A Bachelors degree in the fields listed above with at least 8 years of relevant professional experience, is required.

Masters or PhD preferred.

Security Clearance

Ability to obtain and maintain a U.S. government clearance is preferred but not required.

Location

We are hiring for this position in San Francisco, CA; Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work will also be considered.

Writing or Code Sample

Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, masters thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains.

Term

This position is a 2-year term appointment with a possibility of renewal for up to 3 years, alongside options for longer term employment.

Salary Range: $137,000 - $46,600

Visiting Technical Specialist = 137,000 - 209,000

Visiting Technical Expert = 157,800 - 246,600

RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidates work experience, education/training, skills, expertise; and internal equity. Successful candidates will be offered employment in a specific title, as determined by the candidates education and experience. The salary range includes base pay plus RANDs sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.

Equal Opportunity Employer

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Research, Quality Assurance, and Science
• Industries Think Tanks, Research Services, and Non-profit Organizations

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Job Type:

Term (Fixed Term)

Position Description

RAND's Meselson Center , part of the Global and Emerging Risks (GER) division , is seeking an accomplished technical leader to drive our ambitious frontier AI security research agenda. As Research Lead - Securing Frontier AI, you'll direct a comprehensive research portfolio focused on ensuring that the world's most important AI systems are appropriately secured and addressing critical challenges at the intersection of AI, information security, and national security.

You will be responsible for managing significant research budgets and personnel, overseeing complex technical research and policy analysis projects, and leading multidisciplinary teams of policy researchers, engineers, and scientists. Your work will shape recommendations for the White House, regulatory agencies, the intelligence community, other national governments, and industry leaders.

Your team will communicate findings to both technical and non-technical audiences through quick-turnaround policy briefs and detailed technical analyses. A recent example of one of our research products is the Securing AI Model Weights report, which explored protecting frontier AI model weights from theft and misuse.

This position is structured as a focused two-year appointment to create the urgency needed to drive ambitious change in this rapidly evolving field. Every day of your tenure will count toward achieving ambitious projects in AI security. The appointment may be renewed for an additional year, with options for longer-term employment at RAND thereafter.

RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As a Research Lead - Securing Frontier AI, you'll have access to RAND's leading researchers, extensive government and industry connections, and world-class analytical resources.

Qualifications

All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity.

Required:

• 6+ years of technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields

• 6+ years of technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members

• Demonstrated ability to successfully lead complex projects to completion

• Proficiency in Python, Java, C/C++, or other popular programming languages

• Ability to develop rigorous and comprehensive threat models and identify potential system vulnerabilities

• Strong ability to communicate effectively in English, both verbally and in writing

• Ability to reason about policy options given different technical considerations

• Ability to work effectively in a collaborative, multidisciplinary environment

• Fluency with MS Office suite

Preferred:

• Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience

• Experience with red team operations or offensive cyber capabilities development

• Understanding of advanced persistent threat (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them

• Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations

• Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes

• Experience working in or with government on cybersecurity policy

• Experience with advising non-technical stakeholders on security topics

• Familiarity with the AI/ML hardware stack (e.g. GPUs, TPUs, data center design)

• Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray)

• Experience working on AI research, ML model training, or model deployment

• Experience with securing AI systems

Education Requirements

RAND is hiring a Research Lead at either the specialist or expert level of experience. Minimum education requirements at the specialist level include:

A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with at least 3 years of relevant professional experience is required.

OR

A Master's degree in the fields listed above with at least 6 years of relevant professional experience, is required.

OR

A Bachelor's degree in the fields listed above with at least 8 years of relevant professional experience, is required.

Master's or PhD preferred.

Security Clearance

Ability to obtain and maintain a U.S. government clearance is preferred but not required.

Location

We are hiring for this position in San Francisco, CA;Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work will also be considered.

Writing or Code Sample

Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains.

Term

This position is a 2-year term appointment with a possibility of renewal for up to 3 years, alongside options for longer term employment.

Salary Range: $137,000 - $46,600

Visiting Technical Specialist = 137,000 - 209,000

Visiting Technical Expert = 157,800 - 246,600

RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.

Equal Opportunity Employer

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