Senior Research Scientist - Personalization at Yahoo

Uz, Occitania, France -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

266875.0

Posted On

19 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine learning, Deep learning, Personalization, Ranking, Generative AI, Python, PyTorch, TensorFlow, Hugging Face, Large language models, Prompt engineering, Information retrieval, Distributed data processing, Reinforcement learning, Cloud architecture, NLP

Industry

technology;Information and Internet

Description

Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It’s the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever. A Little About Us The Mail Intelligence platform is building the next generation of services enabling Yahoo to deliver deeply personalized content to hundreds of millions of users. We process several petabytes of data, leveraging cutting-edge algorithms to extract knowledge and interconnect information from billions of messages. Our work spans NLP, deep learning, and massive-scale data processing. You will join a high-impact team of engineers and designers transforming the "ultimate consumer inbox" into an AI-native personal assistant. A Lot About You Expertise in developing and applying state-of-the-art machine learning (ML) and deep learning (DL) models to solve massive-scale architectural challenges. Advanced ability to transform theoretical research into production-grade applications, specifically in personalization, ranking, and Generative AI. Commitment to pushing the boundaries of innovation while maintaining rigorous standards for model performance and data privacy. A mindset focused on automation; you view AI as a tool to accelerate your own research and optimize system-wide efficiencies. Collaborative leader capable of influencing technical direction across multiple squads and mentoring junior researchers. Responsibilities Define the research strategy and lead research for innovative algorithms in personalization, ranking, and information retrieval for 100M+ active inboxes. Build AI-augmented experimentation pipelines that utilize automated tracking (e.g., Weights & Biases) to increase research velocity and model reproducibility. Design, fine-tune, and deploy state-of-the-art transformer and generative architectures, ensuring they are optimized for sub-second production latency. Lead the integration of AI-assisted development tools (e.g., GitHub Copilot) to streamline the transition from research prototype to production-ready code. Develop scalable, self-healing workflows for processing petabyte-scale datasets, replacing manual monitoring with AI-driven diagnostics. Establish protocols for the evaluation and validation of AI-generated outputs, focusing on detecting hallucinations and ensuring the safety of user-facing generative features. Stay at the forefront of the research community, driving Yahoo’s thought leadership through high-impact publications, patents, and conference presentations. Serve as a "prime strategist" for Mail Intelligence initiatives, mentoring junior scientists and aligning research goals with broader business objectives. Basic Qualifications PhD in Computer Science, Statistics, Applied Mathematics, or a related field (Master's degree accepted with 7+ years of relevant experience). 5+ years of professional experience in machine learning or deep learning, with a focus on personalization or recommendation systems. Proficiency in fine-tuning Large Language Models and prompt engineering to solve domain-specific tasks. Expert-level Python skills and hands-on experience with PyTorch, TensorFlow, and the Hugging Face ecosystem. Experience using AI-driven productivity tools to accelerate technical documentation, code refactoring, and research synthesis. Preferred Experience Familiarity with Reinforcement Learning (RL) for ranking and recommendation optimization. Experience architecting solutions on cloud platforms like GCP (Vertex AI) or AWS (SageMaker). Proven track record of industry-level technical influence (e.g., top-tier conference publications like NeurIPS, ICML, KDD). Experience with large-scale distributed data processing (e.g., Spark, Beam). 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 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 +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response. We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome. The compensation for this position ranges from $128,250.00 - $266,875.00/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. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more. Currently work for Yahoo? Please apply on our internal career site. 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.

Responsibilities

Define and lead research strategy for innovative algorithms in personalization, ranking, and information retrieval for massive-scale user inboxes. Develop and deploy production-grade AI models while mentoring junior researchers and aligning technical goals with business objectives.