DescriptionAre you a top AI/ML expert and looking to contribute to the revolution of building smart systems and software with generative AI? Do you want to keep expanding your expertise by working with newest AI concepts and tools? Are you motivated by seeing your inventions have high business and customer impact? AWS Field Experiences (AFX) team is looking for you!As an Applied Scientist at AFX, you will be at the forefront of inventing AI-driven software tools that empower our field teams to win opportunities and generate revenue for AWS. Drawing your knowledge of large language models and other deep learning architectures, you'll develop novel approaches to automate and enhance complex sales workflows. You will work with a team of passionate scientists and machine learning engineers to design, develop, and improve generative AI and traditional ML models. You will collaborate with multiple product and software engineering teams on building those models into live software products and features.Key job responsibilities
Devise novel ways to build and use AI inside applications.
Invent algorithms for processing big structured and unstructured data sets and extract deep insights from them.
Lead and mentor other scientists
Collaborate with product and engineering teams to deliver intelligent, feature-rich software.
Build your models and innovative solutions into intelligent products that deliver for our customers
About the teamAWS Field Experiences (AFX) makes software and tools that help our revenue teams win in the market for cloud software and services. Our revenue teams are knowledge workers and subject matter experts, executing their critical mission in a highly competitive market. In AFX we strive to put difference-making insights and effective tools at their finger tips at all times.Basic Qualifications
PhD, or Master's degree and 6+ years of applied research experience
3+ years of building machine learning models or developing algorithms for business application experience
Experience programming in Java, C, Python or related language
Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization
Preferred Qualifications
5+ years of industry or academic research experience
Experience or project work building applications with LLMs and related tools and frameworks (Amazon Bedrock or OpenAI API, Langchain, AutoGen, CrewAI, etc.)
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 $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.