ML/AI Engineer, Knowledge Data, Yahoo Research
YahooAbout the role
A Little About Us
Yahoo Research is at the forefront of developing intuitive, intelligent, and forward-looking products across our brand portfolio. We harness AI and emerging technologies to shape the next generation of Yahoo, hiring world-class engineers to support our ambitious product and platform goals. Our engineers thrive in a highly collaborative environment with a strong emphasis on technical excellence and innovation. This is a unique opportunity as we reimagine the future of Search, reinventing how users find information and accomplish their goals. To achieve this vision, we are integrating new technology and expanding our infrastructure. This role demands strategic partnership, analytical thinking, exceptional planning and execution skills, ambitious innovation, an obsession with quality and user needs, a passion for solving complex problems, and the commitment to implement durable solutions quickly and effectively. If you enjoy being part of high-performing teams, this role is for you!
Structured knowledge data is fundamental to the efficacy of Large Language Models (LLMs) and all search applications, particularly for robust query understanding. This critical expertise allows for seamless integration with advanced AI offerings, underscoring its paramount importance for delivering effective web search experiences.
Responsibilities:
Formulate and implement scalable ML solutions for knowledge data ingestion, enrichment, and real-time updates, focusing on large-scale, dynamic, and multimodal data.
Lead cross-functional discussions to define technical requirements and develop robust production strategies for integrating knowledge graphs into search applications.
Analyze knowledge data to identify patterns, gaps, and opportunities, leveraging new data sources (e.g., visual, audio) to improve search relevance.
Produce clear technical reports and documentation for both technical and non-technical audiences.
Stay current with advancements in large language models, vision models, and generative AI, applying them to knowledge graph construction, reasoning, and retrieval for next-generation search experiences.
Qualifications:
3+ years of proven track record driving impact in the industry.
Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related field.
Expertise in AI, machine learning, deep learning, structured knowledge.
Expertise in Java and Python.
Familiarity with Big Data, Cloud environments, (Graph) Databases.
#LI-AC1
The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.
At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!
Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibi
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