Research Scientist Intern, Ranking & Recommendations (PhD)

What you'll do

• Define and lead a research project with internship milestones; train and post-train deep learning models.
• Evaluate models using offline metrics and online experiments, analyze outcomes, and iterate.
• Publish research findings and collaborate with researchers and cross-functional partners.

What they ask for

• Currently has or is pursuing a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant technical field; intends to return to the degree program after the internship.
• Experience with Python and deep learning frameworks such as PyTorch.
• Familiarity with modern AI/ML modeling techniques and experience building systems using machine learning and/or deep learning.
• Must obtain and maintain work authorization in the country of employment; demonstrated software engineering experience.

Nice to have

• Research experience in one or more listed areas, such as LLM reasoning, AI agents, generative recommendation, or ranking and recommendation systems.
• Experience training large-scale deep learning models; C++ or LLM training and inference optimization experience; research publications or comparable achievements.

Pay

$7,650/month to $12,667/month (compensation type not stated)

Tools

Python, PyTorch, Transformers, LLMs, RAG, C++, SFT, RL

AI focus

Research and develop ranking and recommendation systems, generative recommendation models, multimodal models, LLMs, and AI agents; post-train with supervised fine-tuning and reinforcement learning from user feedback.