The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.
As a Principal Applied Scientist you will invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include entity resolution, generative AI, large language models, and product substitutes. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and prototypes.
This is a unique, high visibility opportunity for someone who wants to develop cutting edge science solutions and have direct business and customer impact.
Key job responsibilities
- Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.
- Invent novel science solutions and develop prototypes to solve business problems.
- Review and guide science solutions across the team.
- Publish and socialize your and the team's research across Amazon and external avenues as appropriate
- Leverage industry best practices to establish repeatable applied science practices, principles & processes.
BASIC QUALIFICATIONS
• Ph.D. degree in Statistics, Computer Science, Applied Math, Machine Learning, or a related field
• 7+ years of hands-on experience in solving difficult machine learning problems
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Expert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar)
• Demonstrated ability to serve as a technical lead
• Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.
• Strong fundamentals in problem solving, algorithm design and complexity analysis
• Proven track in leading, mentoring, and growing teams of scientists
PREFERRED QUALIFICATIONS
• Deep technical knowledge of machine learning and statistical methodologies
• Experience with deep learning toolkits and frameworks
• Solid software development experience
• Algorithm and model development experience for large-scale applications
• Experience with defining research and development practices in an applied environment
• Excellent communication skills, both written and oral, with technical and business people.
• Professional traits, that are not unique to this position but are necessary for Amazon leaders, including exhibiting excellent judgment; maintaining relentlessly high standards; thinking strategically while staying on top of tactical execution; expecting innovation from collaborators; thinking big; having convictions; being results oriented; and inspiring passion in others about learning, research, and implementation
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 $179,000/year in our lowest geographic market up to $309,400/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.