Link copied to clipboard!
Back to Jobs
Member of Technical Staff Machine Learning Engineer, AGI Autonomy at Amazon
Amazon
San Francisco, CA
Information Technology
Posted 0 days ago
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- Experience with machine learning (ML) tools and methods- Experience in Python Perl or another scripting languageAmazon 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 Companys 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 youre applying in isnt listed please contact your Recruiting Partner.Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $120000/year in our lowest geographic market up to $350000/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 Applicants should apply via our internal or external career site.Required Experience:Staff IC Key Skills ICT,ASP.NET,Gas,Field Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 120000 - 350000
Resume Suggestions
Highlight relevant experience and skills that match the job requirements to demonstrate your qualifications.
Quantify your achievements with specific metrics and results whenever possible to show impact.
Emphasize your proficiency in relevant technologies and tools mentioned in the job description.
Showcase your communication and collaboration skills through examples of successful projects and teamwork.