Senior Knowledge Engineer, Artificial General Intelligence (AGI), Local Information

$92,400 - $206,700/Yr

Amazon - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Knowledge Engineer in Amazon's Artificial General Intelligence organization will play a crucial role in enhancing Alexa's capabilities by building ontological constructs and managing complex data pipelines. This position focuses on leveraging data analytics to improve user experiences and ensure that Alexa remains the world's best personal assistant. The role involves collaboration with various teams to innovate and implement solutions that enrich customer interactions with local information.

Responsibilities

• 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
• Collaborate 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

Requirements

• 5+ years of ontology, knowledge engineering, or data analytics experience
• Bachelor's degree
• 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
• Strong logical and conceptual thought processes
• Ability to work autonomously with minimal supervision
• Able to perform data analysis that drives conclusions and informs project priorities/deliverables
• Able to structure data sets in models that facilitate data retrieval and aggregate analysis (e.g. Excel, SQL, SPARQL)
• Technical experience (e.g. MySQL, HTML, Python, Javascript, ETL, Excel)

Nice-to-haves

• Large Language Model (LLM) and/or Natural Language Processing (NLP) experience
• Demonstrated quantitative, systematic approach to solving problems

Benefits

• Equity options
• Sign-on payments
• Medical benefits
• Financial benefits
• Comprehensive employee benefits package