Ouryahoo

Senior Research Scientist - Personalization/Ads Ranking

United States of America · Senior

Sponsorship not specified$128k-$267kDetected 12 days ago

PythonAlgorithmsAWSGCPCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchPandasSparkNLPLLMsStatisticsA/B TestingForecastingExcelResearchExperimental DesignCommunicationHadoop

About the role

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.
We process billions of messages and data at the petabyte scale.

Responsibilities

With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever.
Lead the research and algorithmic design of advanced models for ranking, personalization, recommendation systems, ads targeting, causal uplift modeling, dynamic pricing, and revenue forecasting.
Experience building and fine-tuning large language models (LLMs) for search, retrieval, or monetization tasks.

Requirements

Expertise in Python and core modeling frameworks like TensorFlow or PyTorch, Hugging Face, Pandas, and NumPy.
Demonstrated experience leveraging AI-assisted development tools (e.g., Anthropic Claude via GCP) to rapidly prototype experiments and accelerate research iteration.
You have a strong academic foundation and a demonstrated commitment to personalization, user modeling, and monetization strategies for large-scale systems.
Hands-on experience with cloud platforms (e.g., GCP, AWS) and large-scale data processing engines (Hadoop, Spark).
Strong understanding of causal inference, experimental design, and A/B testing methodologies at scale.

Nice to have

PhD (preferred) or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related field.

Compensation

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 th

Benefits

Familiarity with Reinforcement Learning and online decision systems.
Contributions to the machine learning research community through peer-reviewed publications, patents, or competition platforms like Kaggle.
Design, train, evaluate, and prototype state-of-the-art machine learning, deep learning, and reinforcement learning models, taking full ownership of experimental integrity and long-term scientific risks.
Collaborate with engineering partners to transition machine learning models from prototype to production, making strategic tradeoffs between theoretical complexity and operational constraints.
Mentor, guide, and conduct technical assessments for senior and mid-level research scientists and machine learning engineers, fostering a culture of continuous learning and AI experimentation.

Company info

The Mail Intelligence platform is responsible for building the next generation platforms and services enabling Yahoo to deliver deeply personalized content to the hundreds of millions of users wherever they are and whatever mode of consumption they are using.
With the help of cutting-edge algorithms we extract information, build knowledge, and interconnect information between different sources to power both user experience and revenue optimization.
Building this knowledge provides many challenges in the areas of machine learning techniques and big data processing in order of petabytes.
The platform plays a critical role in monetization strategy, including:
intelligent revenue forecasting and optimization models, ads relevance and targeting systems, offer selection and targeting, and dynamic pricing.
These challenges span recommendations, ranking, personalization, large-scale machine learning, causal inference, and real-time decision systems.
You will lead the algorithmic design and strategic direction of models that not only enhance user experience but also drive measurable business impact through revenue and engagement optimization.
Yahoo Mail is the ultimate consumer inbox.
It is the best way to access your email and stay organized from a computer, phone, or tablet.
Come join this amazing team of Researchers, Engineers, Product Managers and Designers to work on next generation innovative experiences transforming how users connect with each other every day.
The platform plays a critical role in monetization strategy, including: intelligent revenue forecasting and optimization models, ads relevance and targeting systems, offer selection and targeting, and dynamic pricing.
You are an expert in developing and applying state-of-the-art machine learning and deep learning models to solve complex, high-stakes monetization and personalization problems.
You thrive in a research-oriented environment, pushing the boundaries of innovation while maintaining a clear focus on simplifying model architectures and delivering measurable business impact.
You excel in translating theoretical research into practical, high-impact algorithmic applications-particularly in ranking, recommendation systems, Ads targeting, causal uplift, pricing strategy, and reinforcement learning.
You are a hands-on research leader with deep expertise in designing, training, and evaluating large-scale models, including transformer-based and deep learning architectures.
You possess an AI-forward mindset, actively seeking to optimize your research and modeling workflow through modern AI diagnostics, prompt engineering, and automated evaluation frameworks.
You have a collaborative, consensus-building mindset, bringing excellent communication skills to resolve complex theoretical tradeoffs and guide cross-functional squads.
Establish robust experimental standards and guide scalable modeling workflows on platforms like GCP to streamline model training, validation, and evaluation.
Incorporate LLM-driven synthesis into monetization models to prototype hybrid architectures and accelerate relevance tuning.
Proactively simplify existing model architectures, address core modeling bottlenecks, and establish rigorous scientific standards across multiple projects.
Leverage AI-assisted coding and prototyping tools to accelerate model development and evaluation.
Stay abreast of the latest research trends, contributing to Yahoo's engineering and scientific brand through publications, patents, or technical presentations.
You Must Have:

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