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About Yahoo

Yahoo is a global media and tech company that connects people to their passions. We reach nearly a billion people around the world, bringing them closer to what they love-from finance and sports, to shopping, gaming and news-with the trusted products, content and tech that fuel their day. For partners, we provide a full-stack platform for businesses to amplify growth and drive more meaningful connections across advertising, communications, search and media.

About the Team

The Mail Science team consists of Research Scientists and Research Engineers who pioneer and provide solutions and technologies in machine learning, classification, recommendation, personalization, information extraction, and information retrieval. Our team's work has a direct impact on Yahoo Mail, the second largest email provider in the US, and an array of other Yahoo products, and is seen and used by hundreds of millions of active users worldwide. The team has vast knowledge and expertise in turning huge amounts of user data into knowledge and applications using state-of-the-art techniques in machine learning and data science. It provides intellectual leadership and scientific acumen to the design and development of future products and services, and often facilitates Yahoo's academic collaboration by publishing its results in worldwide conferences.

About You

You love science and technology and want to use them to improve the daily experiences of hundreds of millions of people. You are a team player who will enjoy collaborating with a diverse, multinational, cross-disciplinary group of extremely talented people. You are not afraid to take risks, love experimenting with new ideas, and are capable of delivering under uncertainty. Finally, you are an excellent communicator, capable of abstracting complex solutions and presenting your work to internal partners as well as researchers in the academic community.

Responsibilities

As a Research Scientist in the Mail Science team, you will apply and advance state-of-the-art machine learning techniques in areas such as classification, recommendation, personalization, information extraction, and information retrieval.

Leveraging your scientific expertise, technical skills, and relevant data, you will:

• Identify, scope, and formulate new problems


• Design metrics and experiments to analyze problems and measure results


• Review state-of-the-art approaches, explore new ones, propose appropriate solutions


• Prototype and evaluate effective solutions based on agreed-upon goals and metrics


• Work and communicate effectively with engineering partners to put research results into action


• Provide thought leadership to guide the direction of products and services


• Act as tech lead for small teams of scientists and engineers

You will also:

• Generate intellectual property with patent applications and publications at relevant forums


• Stay current on state-of-the-art research and emerging technologies in related disciplines


• Maintain world-class credentials through publications, collaborations, and service to the research community

Requirements

• Ph.D. in Computer Science, Computer Engineering, Statistics, Applied Math or related field


• Minimum of 6 years experience in industry in large-scale information extraction, classification, information retrieval, natural language processing, or related field


• Expertise in Machine Learning, Deep Learning, Large Language Models, Natural Language Processing, or Web Mining


• Solid programming skills in high-level languages such as Python, Java, Scala or similar


• Experience in directing collaborative research, as evidenced through solid publications and previous leadership roles


• Strong communication, collaboration and interpersonal skills

#LI-SO1

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 is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form ( www.yahooinc.com/careers/contact-us.html ) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion ( www.yahooinc.com/diversity/ ) page to learn more.

The compensation for this position ranges from $160,965.00 - $349,885.00/yr and will vary depending on factors such as your location, skills and experience. The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions, in addition to equity incentives. Yahoo provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation, sick time, parental leave and an employee assistance program. Eligibility requirements apply.

Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don't require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you'll be given notice to make arrangements.

If you're curious about how this factors into this role, please discuss with the recruiter.

Currently work for Yahoo? Please apply on our internal career site.