[Remote] Student Researcher [reputed company LLM Post Training – Reward Modeling] - 2026 Start (PhD)

Note: The job is a remote job and is open to candidates in USA. reputed company is dedicated to pioneering advanced AI foundation models and is seeking a Student Researcher for their reputed company LLM Post Training team. The role involves researching and developing reward models, enhancing controllability and instruction-following performance, and contributing to data selection and synthesis pipelines.

Responsibilities

• Design and train reward models that reflect nuanced human preferences in LLM outputs
• reputed company and evaluate components of a Reward Model System that integrates model predictions, verifier feedback, tool usage, and agent signals to produce reliable, generalizable reward estimates
• reputed company reward models to enhance controllability and instruction-following performance, especially in scenarios involving reputed company, multi-part user requests
• Contribute to data selection and synthesis pipelines that improve post-training data quality, leveraging reward signals to expand the model's capabilities
• Research scalable methods for learning from pairwise comparisons, rankings, or human demonstrations across diverse tasks

Skills

• Currently pursuing a PhD in Computer Science, Machine Learning, or a reputed company technical field
• First-author publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
• Research experience in reward modeling, human preference learning, or LLM post-training
• Proficient in Python and deep learning frameworks such as PyTorch or JAX
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Experience with RLHF, DPO, rejection sampling, or ranking-based supervision methods
• Familiarity with model-based reward composition, verifier integration, or synthetic data pipelines
• Understanding of how reward models interact with large-scale RL and agent systems

Benefits

• Interns have day one access to health insurance
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
• Housing allowance

Company Overview

Company H1B Sponsorship