Member of Technical Staff AGI Autonomy

About Amazon Autonomy

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.

Role Overview

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.

Key Job Responsibilities

• Responsible for developing approaches to scale our RL environment from hundreds of web applications and tens of thousands of tasks to thousands of web applications and hundreds of thousands of tasks.
• Architect and deliver robust software solutions throughout the development lifecycle.
• Develop agentic harnesses that run autonomously with high accuracy.
• Engineer and optimize high-performance systems at scale with modern TypeScript and Python.
• Collaborate with cross-functional stakeholders to deliver aligned features.
• Mentor junior engineering staff.
• Maintain technical documentation and architectural decision records.

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).

EEO Statement

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.

San Francisco Fair Chance Ordinance

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

Disability Accommodation

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.

Compensation and Benefits

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.

Company Details

Company - Amazon.com Services LLCJob ID: A3158132

Key skills/competency

• Member of Technical Staff
• AGI Autonomy
• Large Language Models
• Reinforcement Learning
• Software Engineering
• TypeScript
• Python
• System Design
• Mentorship
• Research