Research Scientist - Human Alignment, Consumer Devices

Tech Stack

Responsibilities

• Develop RLHF and post-training methods for multimodal models.
• Build reward models and preference-learning pipelines for adaptive, personalized model behavior.
• Design datasets, rubrics, and evaluation frameworks that capture user preferences, contextual appropriateness, and long-term value in realistic tasks.
• Run experiments on policy improvement using explicit feedback, implicit signals, and model-based grading.
• Work on long-horizon evaluation problems, where model quality depends not just on a single response but on whether behavior improves outcomes over time.

Benefits

• Health Insurance

Culture

Requirements