Member of Technical Staff - Applied Science, Perception, AGI Autonomy
Job Description
The AGI Autonomy Perception team performs applied machine learning research, including model training, dataset design, pre- and post- training. We train Nova Act, our state-of-the art computer use agent, to understand arbitrary human interfaces in the digital world. We are seeking a Machine Learning Engineer who combines strong ML expertise with software engineering excellence to scale and optimize our ML workflows. You will be a key member on our research team, helping accelerate the development of our leading computer-use agent. We are seeking a strong engineer who has a passion for scaling ML models and datasets, designing new ML frameworks, improving engineering practices, and accelerating the velocity of AI development. You will be hired as a Member of Technical Staff.Key job responsibilities* Design, build, and deploy machine learning models, frameworks, and data pipelines* Optimize ML training, inference, and evaluation workflows for reliability and performance* Evaluate and improve ML model performance and metrics* Develop tools and infrastructure to enhance ML development productivity
Locations
- United States, CA, San Francisco, San Francisco, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- * 3+ years experience building and deploying machine learning systemsintermediate
- * Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration toolsintermediate
Required Qualifications
- * 3+ years experience building and deploying machine learning systems (experience, 3 years)
- * Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration tools (experience)
- * Proven track record of improving ML systems, performance, and workflows (experience)
Preferred Qualifications
- * Experience building and optimizing production-grade AI systems, e.g., for self-driving, simulation, or LLM applications (experience)
- * Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results (experience)
- * Capacity to work autonomously and with a small team to drive research progress (experience)
- 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. (experience)
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $120,000/year in our lowest geographic market up to $350,000/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- * Design, build, and deploy machine learning models, frameworks, and data pipelines
- * Optimize ML training, inference, and evaluation workflows for reliability and performance
- * Evaluate and improve ML model performance and metrics
- * Develop tools and infrastructure to enhance ML development productivity
Documents
Tags & Categories
Member of Technical Staff - Applied Science, Perception, AGI Autonomy
Job Description
The AGI Autonomy Perception team performs applied machine learning research, including model training, dataset design, pre- and post- training. We train Nova Act, our state-of-the art computer use agent, to understand arbitrary human interfaces in the digital world. We are seeking a Machine Learning Engineer who combines strong ML expertise with software engineering excellence to scale and optimize our ML workflows. You will be a key member on our research team, helping accelerate the development of our leading computer-use agent. We are seeking a strong engineer who has a passion for scaling ML models and datasets, designing new ML frameworks, improving engineering practices, and accelerating the velocity of AI development. You will be hired as a Member of Technical Staff.Key job responsibilities* Design, build, and deploy machine learning models, frameworks, and data pipelines* Optimize ML training, inference, and evaluation workflows for reliability and performance* Evaluate and improve ML model performance and metrics* Develop tools and infrastructure to enhance ML development productivity
Locations
- United States, CA, San Francisco, San Francisco, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- * 3+ years experience building and deploying machine learning systemsintermediate
- * Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration toolsintermediate
Required Qualifications
- * 3+ years experience building and deploying machine learning systems (experience, 3 years)
- * Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration tools (experience)
- * Proven track record of improving ML systems, performance, and workflows (experience)
Preferred Qualifications
- * Experience building and optimizing production-grade AI systems, e.g., for self-driving, simulation, or LLM applications (experience)
- * Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results (experience)
- * Capacity to work autonomously and with a small team to drive research progress (experience)
- 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. (experience)
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $120,000/year in our lowest geographic market up to $350,000/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- * Design, build, and deploy machine learning models, frameworks, and data pipelines
- * Optimize ML training, inference, and evaluation workflows for reliability and performance
- * Evaluate and improve ML model performance and metrics
- * Develop tools and infrastructure to enhance ML development productivity