Senior Research Scientist, Artificial General Intelligence

DescriptionThe Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Research Scientist, to lead the development of cutting-edge algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities.As a Senior Research Scientist, you will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.Key job responsibilities

Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI

Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results

Think 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 problems

Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports

Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team

Basic Qualifications

PhD, or Master's degree and 5+ years of quantitative field research experience

3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience

Experience in standard machine-learning and statistical modeling tools and techniques (e.g. random forests, gradient-boosted regression, LASSO, logistic regression)

Preferred Qualifications

PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning

Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback

Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch

Excellent problem-solving skills, with the ability to think creatively and critically about complex problems

Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Experience with patents or publications at top-tier peer-reviewed conferences or journals

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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.