Research Scientist Intern, Generative Recommendation Systems (PhD)

What you'll do

• Lead research toward generative recommendation models and advance the approach across product use cases.
• Design, train, and improve AI/ML libraries and models, including work on scaling, preference alignment, and knowledge alignment.
• Collaborate with researchers and partners; communicate research results and contribute papers or open-source software where appropriate.

What they ask for

• Currently has or is pursuing a Ph.D. in Computer Science, Artificial Intelligence, or a relevant technical field.
• Experience with Python and machine learning or deep learning libraries such as PyTorch and Transformers.
• Experience building systems using machine learning and/or deep learning methods.
• Must obtain and maintain work authorization in the country of employment; intend to return to the degree program after the internship.

Nice to have

• Research or project experience in sequence modeling, recommendation systems, user modeling, reinforcement learning, LLMs, or agents.
• A record of significant results, such as grants, fellowships, patents, or publications at leading venues; software engineering experience.

Pay

$7,650/month to $12,667/month (base salary)

Tools

Python, PyTorch, Transformers

AI focus

Research and develop generative recommendation systems, including model scaling, reinforcement-learning-based preference alignment, LLM/MLLM knowledge alignment, agentic AI, and recursive self-improvement.