DescriptionAmazon's AGI Web & Knowledge Services group is seeking a passionate, talented, and inventive Applied Scientist to lead the development of industry-leading structured Information retrieval systems. As part of our cutting-edge AGI-SIR team, you will play a pivotal role in developing efficient AI solutions for Knowledge Graphs, Graph Search and Question Answering Systems.In this role, your work will focus on creating scalable and efficient AI-driven technologies that push the boundaries of information retrieval. You will work on a broad range of problems, from low-level data processing to the development of novel retrieval models, leveraging state-of-the-art machine learning methods.Key job responsibilities
Lead the development of advanced algorithms for knowledge graphs, graph search and question answering systems, guiding the team in solving complex problems and setting technical direction.
Design models that address customer needs, making informed trade-offs to balance accuracy, efficiency, and user experience.
Collaborate with engineering teams to implement successful models into scalable, reliable Amazon production systems.
Present results to technical and business audiences, ensuring clarity, statistical rigor, and relevance to business goals.
Establish and uphold high scientific and engineering standards, driving best practices across the team.
Promote a culture of experimentation and continuous learning within Amazon’s applied science community.
Basic Qualifications
Experience programming in Java, C, Python or related language
PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
1+ years of building models for business application experience
Preferred Qualifications
PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, or information retrieval
Hands on experience with Visual LLMs
Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, CVPR)
Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
Experience with distributed systems, web services, or large-scale data processing.
Good written and spoken communication skills
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 $136,000/year in our lowest geographic market up to $222,200/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.