Member of Technical Staff, Multimodal Agents, AGI Autonomy

Amazon AGI Lab is a frontier research and product team combining the speed of a startup with Amazons scale and resources. We build agents that can perceive reason and take action to complete real-world tasks.

The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk high-payoff research.

Were hiring a principal engineer who can take models from prototype to production and build the systems that make them run reliably at scale. The bar is end-to-end ownership: your work can range from working alongside researchers to build novel architectures to being the person who decides what the agent runtime looks like where the data lives and how we know its delivering value.

Key job responsibilities
- Set the technical direction for the team
- Partner closely with researchers to take emerging VLM and agent ideas from prototype to robust instrumented systems that can be evaluated improved and scaled
- Create tooling that accelerates research and engineering velocity
- Raise the engineering bar for the team through technical design reviews mentoring principled architecture high-quality code observability and operational excellence
- Influence the broader AGI organization by identifying reusable primitives writing clear technical strategy and creating systems that other teams can build on
- Be a thought leader & represent the lab externally by sharing ideas through thoughtful writing conference talks research publications and open-source contributions helping advance the field while raising the visibility and impact of the teams work

- Masters degree and 6 years of engineering experience or equivalent practical experience.
- Strong programming experience in Python and at least one systems language (e.g. C Rust Go).
- Experience designing building and operating large-scale software systems ML systems data platforms agent infrastructure or low-latency distributed systems.
- Experience with deep learning machine learning computer vision multimodal models information retrieval or production ML infrastructure.
- Experience leading ambiguous cross-functional technical projects from problem definition through implementation evaluation and delivery.
- Experience mentoring senior engineers and influencing technical direction across teams.
- Strong written and verbal communication skills with the ability to clarify ambiguous research problems align stakeholders and drive technical decisions.
- High judgment and ownership in fast-moving environments where the right answer may require a mix of research taste systems thinking product intuition and engineering discipline.

- The strongest candidates may bring some of the following experiences. These are not required but they are examples of backgrounds that could help someone thrive in this role.
- Experience building systems for video understanding vision-language models
- Experience with ML engineering for production systems including model serving distributed training or fine-tuning data pipelines evals and observability.
- Experience with search ranking embeddings vector databases ANN retrieval metadata generation or large-scale multimodal indexing.
- Experience with privacy-aware secure on-device edge or client-side ML systems.
- Experience with infrastructure such as Kubernetes Ray Spark Kafka GPU clusters distributed storage service orchestration or high-throughput data processing.
- Experience taking early research ideas and turning them into reliable systems with measurable quality latency reliability and cost characteristics.

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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $255000/year in our lowest geographic market up to $345000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site