Sr Applied Scientist, AGI Autonomy

Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Autonomy organization, and we are looking for a driven and talented scientist to join us to build state of the art agents.

As a scientist on our team, you will deliver short and long term research bets to deliver best in class models and agents. We’re looking for someone who has experience implementing RL algorithms and leveraging reinforcement learning techniques (e.g. PPO, DPO) to improve model performance on reasoning-heavy tasks. You will work with other scientists and engineers to train foundation models and build agents which can reliably accomplish end to end tasks in dynamic environments using a variety of standard and state of the art techniques.

We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive and collaborative team culture, you will thrive in this role, and we hope to hear from you.


Key job responsibilities
- Build RL system to scale up inference time compute
- Use RL to improve reasoning, planning, and agent task capability of foundation model
- Train state of the art multimodal models to improve agent performance on a variety of tasks
- Analyze model performance, identify areas for improvement, and iteratively improve the system
- Implement necessary pipelines, model capabilities, and tools to debug and improve model performance
- Conduct in-depth research to stay at the forefront of agents
- Manage project prioritization, deliverables, timelines, and stakeholder communication.
- Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
- Operate in a dynamic environment to deliver high quality models and software against aggressive schedules.- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Reinforcement Learning or Machine Learning

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. 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 Company’s 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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. 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.