Senior Research Scientist - Personalization
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A Little About Us
The Mail Intelligence platform is responsible for building the next generation natural language processing, machine learning and big‑data services that enable Yahoo to deliver deeply personalized content to hundreds of millions of users wherever they are and whatever mode of consumption they are using.
We process billions of mail messages (data in tune of several petabytes). With the help of cutting‑edge algorithms we extract information, build knowledge, interconnect information between different sources to deliver a great experience to our users. Building this knowledge provides many challenges in the areas of natural language processing, machine learning techniques and huge data processing. You will build tools and workflows to make it easier to manage and act on this vast information and apply your insights to build innovative consumer applications for Yahoo.
About You
* You are an expert in developing and applying state‑of‑the‑art machine learning and deep learning models to solve complex problems.
* You thrive in a research‑oriented environment and enjoy pushing the boundaries of innovation to deliver impactful solutions.
* You have a strong academic foundation and are passionate about personalization and user modeling for large‑scale systems.
* You excel in transforming theoretical research into practical applications, especially in the domains of personalization, recommendation systems, ranking, classification, information retrieval, and NLP tasks.
* You are a hands‑on expert with experience in training and evaluating large‑scale models, including cutting‑edge deep learning architectures.
* You have a collaborative mindset, excellent communication skills, and the ability to contribute to a high‑performing team in a fast‑paced environment.
Your Day
* Conduct research to develop and advance innovative algorithms for personalization, user modeling, recommendation, ranking, information retrieval, and classification tailored to large‑scale email inboxes.
* Design, train, evaluate and deploy state‑of‑the‑art machine learning and deep learning models, including transformer‑based and generative architectures.
* Collaborate with cross‑functional teams to integrate machine learning models into production systems and drive business impact.
* Optimize and fine‑tune models for personalization, recommendations, ranking, information retrieval, and classification.
* Develop scalable workflows for processing and analyzing large‑scale datasets.
* Stay abreast of the latest research trends and contribute to the team’s thought leadership through publications, patents or presentations.
* Participate in the design and execution of experiments to validate model effectiveness.
* Mentor and guide junior team members in research and development efforts.
You Must Have
* PhD (preferred) or Master’s degree in Computer Science, Statistics, Applied Mathematics or a related field.
* 5+ years of experience in machine learning, deep learning or related fields, with hands‑on expertise in personalization, recommendation systems, ranking, information retrieval, classification, NLP.
* Strong fundamentals in machine learning and deep learning, with solid expertise in model training and evaluation.
* Comprehensive understanding of deep learning models and architectures, including transformer‑based and generative models.
* Hands‑on experience with Python and frameworks like TensorFlow or PyTorch.
* Hands‑on experience with Huggingface, Pandas and NumPy.
* Demonstrated problem‑solving skills and ability to translate complex concepts into actionable solutions.
* Excellent communication and collaboration skills, with a proven ability to work in a team‑oriented environment.
You May Have
* Knowledge of Reinforcement Learning.
* Exposure to cloud platforms such as GCP or AWS.
* Experience with large language models (LLMs), including fine‑tuning or prompt engineering.
* Familiarity with large‑scale data processing and analysis tools.
* Contributions to the research community through publications, patents or participation in competitions like Kaggle.
* Understanding of statistical methods and exploratory data analysis.
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 accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form or call +1.866.772.3182. Requests for non‑disability related issues will not receive a response.
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 do not require specific regular patterns of in‑person office attendance. If you join Yahoo, you may be asked to attend or travel to 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.
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