Job Information
Amazon Knowledge Engineer, Artificial General Intelligence (AGI), Local Information in Santa Barbara, California
Description
Amazon's Artificial General Intelligence organization is building the next generation of solutions and experiences with AI, shaping the way information is delivered, consumed and utilized.
That's where you come in. We're looking for a Knowledge Engineer to join us in sunny Santa Barbara and help us build the future. As a Knowledge Engineer, you will be responsible for identifying and executing on opportunities to make Alexa the World's best personal assistant with GenAI.
Key job responsibilities
In this role, you will:
Build out ontological constructs and ingest structured data to ground Alexa experiences
Develop and manage complex data pipelines
Closely monitor KPIs and perform deep dives to uncover gaps, working with technical teams to implement solutions/improvements
Work closely with engineers, scientists, and product managers to fine tune models and enhance underlying performance
Work closely with UX designers and business development managers to bring forward new experiences
Help ideate, define and build new customer experiences
Leverage vertical-specific expertise to innovate on behalf of Alexa, enriching the ways customers receive information and take action
About the team
The Local Information team sits at the intersection of technology and local insights. Driven by our passion for local exploration, community engagement, and our technical expertise, we move swiftly and purposefully to develop the most comprehensive and intuitive local information assistant. Our goal is to transform the way people discover and interact with local points of interests, local events, and other data, enriching everyday experiences.
Basic Qualifications
Bachelor’s degree (or equivalent), in a quantitative or analytical field
Concise clear written communication skills and excellent verbal communication ability
Experience working on simultaneous projects with cross-functional teams
Ability to understand a problem before you approach it
Ability to solve complex problems with analytical thinking
Ability to think critically
Able to perform data analysis that drives conclusions and informs project priorities/deliverables
Able to structure single data sets in models that facilitate data retrieval and aggregate analysis (e.g. Excel, SQL, SPARQL)
Technical interest (e.g. MySQL, HTML, Python, Javascript, ETL, Excel)
Preferred Qualifications
Large Language Model (LLM) and/or Natural Language Processing (NLP) exposure
Demonstrated quantitative, systematic approach to solving problems
Strong logical and conceptual thought processes
Ability to work autonomously with minimal supervision
Our Santa Barbara office is unique within Amazon. We balance the drive of a scrappy start-up with the immense resources of a cloud computing giant, and are looking for people with similar ambition.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $56,100/year in our lowest geographic market up to $125,500/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.
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