Senior Research Scientist - JR0025239_TX

$143,625 - $299,375/Yr

Yahoo Holdings - Richardson, TX

Full-time - Senior

Onsite - Richardson, TX

About the position

The Senior Research Scientist role at Yahoo Holdings Inc. focuses on developing and applying advanced machine learning and deep learning models to enhance personalization and user modeling for large-scale systems, particularly within the Yahoo Mail platform. The position involves conducting research, designing algorithms, and collaborating with cross-functional teams to integrate these models into production systems, ultimately driving impactful business outcomes.

Responsibilities

• Conduct research to develop and advance innovative algorithms for personalization, user modeling, classification, and recommendation systems 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, classification, ranking, and recommendations.
• 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.

Requirements

• 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 work in classification, personalization, recommendation systems, or 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.
• Expertise in NLP, personalization, user modeling, recommendations, and ranking systems.
• 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.

Nice-to-haves

• Experience with large language models (LLMs), including fine-tuning or prompt engineering.
• Exposure to cloud platforms such as GCP or AWS.
• Knowledge of Information Retrieval, Reinforcement Learning.
• 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.

Benefits

• Healthcare coverage
• 401K savings plan
• Company holidays
• Vacation
• Sick time
• Parental leave
• Employee assistance program