Member of Technical Staff, Multimodal Reasoning Applied Science , AGI Autonomy

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. Were enabling practical AI to make our customers more productive empowered and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception reasoning and planning to build useful enterprise agents.

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. Were entering an exciting new era where agents can redefine what AI makes possible.

Key job responsibilities
You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training dataset design and pre- and post-training optimization. You will be hired as a Member of Technical Staff.

- 5 years experience building machine learning models
- PhD or Masters degree in computer science or related field
- Proficiency in Python Java C or related language
- Experience with deep learning methods and tools e.g. PyTorch JAX

- Background in scientific research with a proven ability to generate and implement new ideas in machine learning
- Experience with post-training of large Vision Language Models (VLMs).
- Willingness to step outside typical role boundaries to get things done every member of technical staff is expected to write code design experiments and interpret results
- Ability to communicate results and insights to both technical and non-technical audiences including through presentations and written reports
- Ability to think big about the arc of development of AI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems
- Capacity to mentor and guide junior scientists and engineers and contribute to the overall growth and development of the team

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.