Ouryahoo

Senior Research Scientist

United States of America · Senior

Sponsorship not specified$144k-$299kDetected 30 days ago

PythonAlgorithmsAWSGCPCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchSparkData EngineeringNLPLLMsA/B TestingExcelResearchCommunicationMentoring

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.
Using cutting-edge algorithms, we extract knowledge and interconnect information from diverse sources to simplify our users' lives.

Responsibilities

Efficiency at Scale: Design and implement knowledge distillation to transfer complex capabilities into smaller, high-performance models.
Modern Evaluation: Develop robust evaluation frameworks, including LLM-as-a-judge methodologies and human-in-the-loop validation.
Product Integration: Build repeatable, scalable training workflows for high-throughput production environments.
Design and implement knowledge distillation to transfer complex capabilities into smaller, high-performance models.
Build repeatable, scalable training workflows for high-throughput production environments.

Requirements

Experience with knowledge distillation, model compression, and/or training smaller models from larger teacher models.
Experience designing evaluation frameworks for generative systems, including prompt-based evaluation and LLM-as-a-judge approaches.
Strong experimental rigor and ability to translate research ideas into production-ready systems.
Excellent communication skills and ability to operate effectively in cross-functional, fast-moving environments.
You are a seasoned Applied ML Researcher who thrives at the intersection of theoretical innovation and production-grade execution.
You have expertise working across multiple ML and NLP spaces - including summarization, information extraction, classification, and ranking - at a very large scale.
You have hands-on experience with knowledge distillation.
PhD (preferred) or Master's degree in Computer Science, Machine Learning, NLP, or a related field.
4+ years of hands-on experience in applied machine learning and deep learning, with significant hands-on work in NLP and generative models at scale.
Demonstrated experience fine-tuning LLMs using LoRA or other parameter-efficient methods.
Deep understanding of transformer architectures, including encoder-only models, decoder-only models, and encoder-decoder models, as well as modern generative transformer techniques.
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with Hugging Face tooling.
Experience building scalable data pipelines and training workflows for large datasets.
GCP experience preferred.

Nice to have

Experience deploying and optimizing models for on-device or resource-constrained environments (quantization, pruning, distillation).
Experience with agent frameworks, tool use, or multi-step reasoning systems.
Experience with large-scale distributed training and inference.
Publications, patents, or open-source contributions in NLP or generative AI.
Experience working with cloud platforms (GCP, AWS) and large-scale experimentation infrastructure.
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

Compensation

The compensation for this position ranges from $143,625.00 - $299,375.00/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

Lead R&D: Drive the research and development of deep learning models specifically tailored for large-scale email and communication data.

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