Member of Technical Staff, AGI Autonomy

Benefits

Parental leave

Not verified not verified - source not recorded; timestamp not recorded

Non-birth-parent leave

Not verified not verified - source not recorded; timestamp not recorded

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Member of Technical Staff, AGI Autonomy San Francisco, California, USA 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. 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. Core Engineering: 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 Collaboration & Leadership: 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,

Read the full description at www.amazon.jobs. FewerJobs shows a source-linked preview and links to the original posting.