Member of Technical Staff, Amazon

• 3+ years of professional software development experience
• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
• Experience building production software in TypeScript and/or Python

Desirable

• Amazon AGI Autonomy develops foundational capabilities for useful AI agents
• We are the research lab behind Amazon Nova Act, a state-of-the-art computer-use agent
• Our work combines Large Language Models (LLMs) with Reinforcement Learning (RL) to solve reasoning, planning, and world modeling in the virtual world
• We are a small, talent-dense team with the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research
• We’re looking for a generalist software engineer to build and evolve our internal data platform
• The team builds data-intensive services that ingest, process, store, and distribute multi-modal training data across multiple internal and external sources
• This work emphasizes data integrity, reliability, and extensibility in support of large-scale training and experimentation workloads
• The team also builds and maintains APIs and SDKs that enable product engineers and researchers to build on top of the platform
• As research directions change, so does our data, and today the team is focused on hardening the platform to reliably deliver an evolving set of data schemas, sources, and modalities
• By building strong foundations and durable abstractions, we aim to enable new kinds of tooling and workflows over time
• The team will play a key role in shaping them as the research evolves
• * Build and operate reliable, performant backend and data platform services that support continuous ingestion and use of multi-modal training data
• * Identify and implement opportunities to accelerate data generation, validation, and usage across training and evaluation workflows from multiple internal and external sources
• * Partner closely with Human Feedback, Data Generation, Product Engineering, and Research teams to evolve and scale the data platform, APIs, and SDKs
• * Own projects end to end, from technical design and implementation through deployment, observability, and long-term maintainability
• * Write clear technical documentation and communicate design decisions and tradeoffs to stakeholders across multiple teams
• * Raise the team’s technical aptitude through thoughtful code reviews, knowledge sharing, and mentorship