Member of Technical Staff - Software Engineeing- Full Stack / Frontend, AGI Autonomy

Amazon; San Francisco (CA); On-site; USD 120,000 - 350,000; Full time

Job summary

Join a forward-thinking research lab focused on developing foundational capabilities for AI agents. As a Member of Technical Staff, you'll play a crucial role in building and operating the frontend systems that power innovative AI research. This position offers the exciting opportunity to work with cutting-edge technology, including large language models and reinforcement learning, in a dynamic environment. You will be part of a small, talented team that values autonomy and creativity, driving high-impact research that redefines AI capabilities. If you're passionate about technology and eager to make a difference, this is the perfect opportunity for you.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience as a tech lead or engineering mentor.

Responsibilities

• Build and operate the frontend systems for AI agent development.
• Contribute to the research platform powering AI agents.

Skills

Problem-solving skills

UX design

Software development life cycle

Database management (PostgreSQL)

Engineering mentorship

Education

Bachelor's degree in Computer Science

Job description

Member of Technical Staff - Software Engineering- Full Stack / Frontend, AGI Autonomy

Job ID: 2916953 | Amazon.com Services LLC

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).

Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up!

Key Job Responsibilities

You will contribute directly to AI agent development by building and operating the frontend systems that power our research platform. You will be hired as a Member of Technical Staff.

BASIC QUALIFICATIONS

1. Bachelor's degree in Computer Science or related field
2. Experience as a tech lead or engineering mentor
3. Proficiency with PostgreSQL or equivalent database in production
4. Keen eye for good UX design and effective patterns
5. Expertise across the software development life cycle, including code standards, reviews, source control management, build processes, testing, and operations
6. Excellent problem-solving skills to move fast in a dynamic environment, with a focus on code quality, testing, and performance optimization

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $120,000/year in our lowest geographic market up to $350,000/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.