• Research & Development:

• Conduct cutting-edge research in ML, focusing on personalization, recommendations, and NLP techniques (e.g., transformers, embeddings, reinforcement learning). 

• Design, prototype, and evaluate ML models that drive personalized recommendations and improve user experiences across platforms. 

• Stay up-to-date with the latest research, and contribute to internal research papers and presentations. 

• Data Analysis, Modeling & Experimentation:

• Work with large-scale datasets to build, train, and optimize machine learning models. 

• Develop and fine-tune models for improving recommendation accuracy and user personalization using collaborative filtering, content-based filtering, hybrid models, and deep learning techniques. 

• Design, implement, and analyze A/B tests to evaluate the effectiveness of personalized recommendations and other ML-driven features. 

• Interpret results from A/B tests to provide actionable insights for product teams and help iterate on model improvements. 

• Collaboration & Communication:

• Collaborate with cross-functional teams, including data engineers, product managers, and senior researchers, to integrate research insights into production systems. 

• Present research findings and A/B test results to both technical and non-technical stakeholders. 

PreferredSkills

• Strong background in machine learning, deep learning, and natural language processing. 

• Familiarity with techniques in personalization and recommendation systems (e.g., matrix factorization, collaborative filtering, reinforcement learning). 

• Experience with A/B testing frameworks, experimentation design, and analyzing experimental results. 

• Proficiency in ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, etc. 

• Proficient in Python and data analysis libraries (e.g., Pandas, NumPy). 

• Experience working with large datasets and cloud-based platforms (e.g., Databricks, AWS, GCP) is a plus. 

• Strong problem-solving skills and ability to work independently as well as in a collaborative environment.

• Published research papers in top-tier ML/NLP conferences or journals. 

• Experience with transformer-based models (e.g., BERT, GPT) and advanced NLP techniques. 

• Strong programming and software engineering skills for building scalable machine learning models. 

• Experience working with A/B methodologies and designing complex experiments. 

• Preferred Majors: Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

What You’ll Gain

• Hands-on experience working on impactful machine learning projects in personalization, recommendations, and NLP domains.

• Mentorship from experienced researchers and engineers in the field.

• The opportunity to work with A/B testing frameworks to evaluate the performance and business impact of your research.

• Potential to contribute to innovative products and publish in leading ML/NLP conferences.

• Networking opportunities within a fast-paced, research-driven company.

Minimum Qualifications and Eligibility Requirements

• CurrentPhD student in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. 

• Available to work 40 hours per week over the course of the summer program- June 2 through August 15, 2025

• Authorized to work in the United States 

• Available to report in-person to the work location on the job posting (unless virtual offering)

• Comcast is an Affirmative Action/EEO employer M/F/D/V