Member Of Technical Staff, AGI Autonomy
All the best with your application!
Want more jobs like this straight to your inbox?
Get Job Alerts
Get a curated list of the top robotics roles delivered straight to your inbox each week. We sift through hundreds of postings to find the high-salary positions, leading companies, and remote opportunities you actually want.
Unsubscribe anytime. We respect your privacy.
Summary
San Francisco, United States
$150k-325k/year
Full-time
5+ years
About this Job
Amazon Autonomy is a research lab based in San Francisco with the charter to develop state of the art browser use agents at scale. Our research leverages Large Language Models (LLMS) and reinforcement learning (RL) algorithm at scale and benefits from the ability to work Amazon’s scale and a startup’s agility.
As a Member of Technical staff (MTS) on the gym pod, you’ll be responsible for helping develop the training environments, tasks, and integrations needed to scale our data and drive core model capabilities. You’ll work closely with our researchers and given the autonomy to drive significant outcomes.
This role is for you if you have a learner’s mindset, enjoy building at the frontier of what’s possible, and thrive in a collaborative fast-paced environment.
Qualifications 5+ years of professional engineering experience * Proficiency in modern TypeScript * Experience building cloud-native applications and APIs * Track record of building high-performance applications at scale
Preferred qualifications * Experience as a tech lead * Proficient with PostgreSQL or equivalent database in production * Expertise across the software development lifecycle including observability + testing. * Keen eye for good product when it comes to UX + DX *Experience in data / ai context * Familiar building evals and making data oriented decisions * Comfortable with a/b testing and statistics * Experience working on machine learning problems * Experience building out AI pipelines
Basic Qualifications: - 5+ years of scripting language experience Preferred Qualifications: - Experience in Postgres, or experience in Database like NoSQL and experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP)
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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 U.S. geographic markets. The base pay for this position ranges from $150,000/year in our lowest geographic market up to $325,000/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.
About the Company
