About Yahoo
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
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.
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
- 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
- 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
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