Member Of Technical Staff

Member of Technical Staff - Reinforcement Learning, AGI AutonomyJob ID: ******* | Amazon.com Services LLCThe Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds.In other words, we're enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal.Our philosophy combines the agility of a startup with the resources of Amazon.By keeping the team lean, we're able to maximize the amount of compute per person.Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.Key job responsibilitiesDevelop cutting edge multimodal Large Language Models (LLMs) to observe, model and derive insights from manual workflows for automationWork in a joint scrum with engineers for rapid invention, develop cutting edge automation agent systems, and take them to launch for millions of customersCollaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAIDesign and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve resultsThink big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problemsCommunicate results and insights to both technical and non-technical audiences, including through presentations and written reportsMentor and guide junior scientists and engineers, and contribute to the overall growth and development of the teamBasic QualificationsPhD, or Master's degree and 5+ years of applied research experience3+ years of building machine learning models for business application experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPreferred QualificationsPhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learningDemonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedbackStrong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorchExcellent problem-solving skills, with the ability to think creatively and critically about complex problemsStrong communication and collaboration skills, with the ability to work effectively with cross-functional teamsExperience with patents or publications at top-tier peer-reviewed conferences or journalsAmazon 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 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 visitfor 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.This position will remain posted until filled.Applicants should apply via our internal or external career site.Posted:November 20, **** (Updated about 17 hours ago)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-*****-Ljbffr