Data Scientist, Generative AI Innovation Center, AWS

Machine learning (ML) has been integral to Amazon since its early days. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The Generative AI team assists AWS customers in accelerating the use of Generative AI to address business and operational challenges and foster innovation within their companies. As an applied scientist, you are adept at designing and developing advanced ML models to tackle a variety of challenges and opportunities. You will be working with terabytes of text, images, and other types of data to resolve real-world problems. You'll design and run experiments, research new algorithms, and discover innovative ways of optimizing risk, profitability, and customer experience. In this role, you are a skilled scientist capable of applying ML algorithms and state-of-the-art deep learning (DL) and reinforcement learning techniques to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistants, among others. Key job responsibilities • Design, develop, and evaluate innovative ML models to tackle diverse opportunities across different industries • Engage directly with customers to comprehend their business issues, and aid them in defining and implementing scalable Generative AI solutions • Collaborate closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new solutions About the team Inclusive Team Culture At AWS, we celebrate our differences. We are committed to enhancing our culture of inclusion. We have ten employee-led affinity groups, spanning 40,000 employees across 190 global chapters. We offer innovative benefits and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Work/Life Balance Our team highly values work-life balance. It isn’t about the number of hours you spend at home or work; it’s about establishing a flow that energizes both parts of your life. Striking the right balance between your personal and professional life is crucial for lifelong happiness and fulfillment. We offer flexible working hours and encourage you to establish your own balance between your work and personal lives. Mentorship & Career Growth Our team is committed to supporting new members. With a mix of experience levels and tenures, we are fostering an environment that encourages knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but gentle, code reviews. We value your career growth and aim to assign projects that help each team member develop into a better-rounded engineer and tackle increasingly complex tasks in the future. We are open to hiring candidates from the following locations: Portland, OR, USA | Santa Clara, CA, USA | Seattle, WA, USA Basic Qualifications - 3+ years of experience in building business application models - Experience with patents or publications at peer-reviewed conferences or journals - Proficiency in programming in Java, C++, Python or similar languages - Experience in areas such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and/or machine learning Preferred Qualifications - PhD or Masters degree in computer science, engineering, mathematics, operations research, or another highly quantitative discipline - Practical experience in solving complex problems in an applied environment - Experience in building models with deep learning frameworks like MXNet, Tensorflow, or PyTorch Amazon is dedicated to diversity and inclusivity. Amazon is an equal opportunity employer and does not discriminate on the grounds of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market to $212,800/year in our highest geographic market. Pay is determined by a variety of factors, including market location and job-related knowledge, skills, and experience. Amazon offers total compensation. Depending on the position offered, equity, sign-on payments, and other forms of compensation may form part of a total compensation package, along with a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants are advised to apply through our internal or external career site.