Member of Technical Staff, AGI Autonomy
Amazon · San Francisco, CA
- On site
- Full-time
- $325,000 / year
- San Francisco, CA
Job highlights
- Develop training environments for browser agents at scale.
- Utilize LLMs and RL algorithms for core model capabilities.
- Architect and deliver robust software solutions.
- Engineer high-performance systems using TypeScript and Python.
- Collaborate with cross-functional teams and mentor staff.
About the role
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
Skills & topics
- Member of Technical Staff
- AGI Autonomy
- AI
- Machine Learning
- LLM
- Reinforcement Learning
- Software Engineer
- TypeScript
- Python
- System Design
- Research
- San Francisco
How to get hired
- Tailor your resume: Highlight your 5+ years of scripting experience and any relevant database or programming skills like Postgres, NoSQL, Batch, or Python.
- Showcase your expertise: Emphasize your experience in architecting robust software solutions, developing autonomous agent harnesses, and optimizing high-performance systems.
- Demonstrate leadership: Include examples of collaborating with cross-functional stakeholders and mentoring junior engineers.
- Prepare for technical interviews: Be ready to discuss your experience with LLMs, RL, TypeScript, Python, and system design principles.
- Understand Amazon's culture: Research Amazon's leadership principles and how they align with a learner's mindset and collaborative, fast-paced environments.
Technical preparation
Practice scaling RL environments and agent harnesses.,Review TypeScript, Python, and SQL/NoSQL database concepts.,Prepare system design questions related to large-scale systems.,Study LLM and Reinforcement Learning fundamentals.
Behavioral questions
Describe a time you scaled a complex system.,How do you mentor junior engineers effectively?,Share an experience collaborating with diverse teams.,How do you approach developing novel AI capabilities?
Frequently asked questions
- What is the typical salary range for a Member of Technical Staff at Amazon Autonomy in San Francisco?
- The base pay for this position ranges from $150,000/year to $325,000/year, depending on the geographic market and your qualifications. Amazon also offers a total compensation package which may include equity, sign-on bonuses, and a full range of benefits.
- What programming languages and technologies are most important for this Member of Technical Staff role?
- The role requires at least 5 years of scripting language experience. Proficiency in TypeScript and Python is essential for engineering high-performance systems. Experience with Postgres or NoSQL databases is also preferred.
- Does Amazon Autonomy in San Francisco consider candidates with criminal records for the Member of Technical Staff position?
- Yes, pursuant to the San Francisco Fair Chance Ordinance, Amazon will consider for employment qualified applicants with arrest and conviction records for this Member of Technical Staff role.
- What is the work arrangement for the Member of Technical Staff position at Amazon Autonomy?
- The job description indicates the lab is based in San Francisco, suggesting an on-site or hybrid arrangement. Specific details on the work arrangement would need to be confirmed directly with the hiring team or during the interview process.
- What kind of projects will a Member of Technical Staff work on at Amazon Autonomy?
- You will be developing training environments, tasks, and integrations to scale data and drive core model capabilities for browser use agents, leveraging Large Language Models and reinforcement learning.
- How does Amazon Autonomy leverage AI and machine learning in its research?
- Amazon Autonomy focuses on developing state-of-the-art browser use agents at scale, utilizing Large Language Models (LLMs) and reinforcement learning (RL) algorithms as core components of their research and development.
- What are the key leadership responsibilities for a Member of Technical Staff at Amazon?
- Key responsibilities include collaborating with cross-functional stakeholders to deliver features, mentoring junior engineering staff, and maintaining technical documentation and architectural decision records.