Senior ML​/AI Engineer

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

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!

The AI and Optimization team at Yahoo has a major impact on the quality and performance of various products, advertisements and services at Yahoo Search. Our team powers the understanding, orchestration, optimization and generative AI engine that provides our users with the modern search experience they need.

• Understand the technical challenges of a real world problem. Think and formulate problems from first principles and map them to one or more Machine Learning paradigms.
• Utilizing strong communication skills, iteratively discuss technical ideas cross‑functionally
• Define technical requirements, which involves but is not limited to, data collection, evaluation mechanism and production serving strategy.
• Based on product requirements, design and implement ML‑based solutions and systems that can scale and evolve over time
• Analyze data and identify patterns to inform further development
• Produce technical reports and documentation targeted to both technical and non‑technical audiences.
• Stay updated on industry trends and advancements in technology such as large language and vision models, and generative AI.

• 4+ years of track record driving impact in the industry and related experience
• Master's degree or Ph.D. in Computer Science, Electrical Engineering, Statistics, Applied Math or related discipline; or, equivalent experience
• Expertise in AI, machine learning, deep learning and natural language processing
• Expertise in Java and Python

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.…