Research & Science
Advancing AI capabilities, applying AI to scientific discovery, and providing domain expertise to improve AI systems. Covers AI research, ML research, safety/alignment research, applied science, computational biology/chemistry/physics, quantitative research, AI tutoring and RLHF evaluation, and domain expertise for AI training and evaluation.
Roles
The canonical roles within Research & Science.
AI Tutor & Domain Expert
Subject-matter experts who contribute domain expertise to AI systems through training data, RLHF evaluation, tutoring, and direct knowledge input. Covers AI tutors providing feedback for model training, domain experts contributing specialized knowledge to AI evaluation and product development, RLHF trainers ranking model outputs, and annotation specialists with deep subject-matter expertise. The common thread is domain expertise applied to improve AI systems.
Research Scientist
Scientists conducting original research to advance the state of the art in AI, machine learning, and related fields.
Research Engineer
Engineers who build the systems, tools, and infrastructure that enable research.
Member of Technical Staff
Senior individual contributors at AI labs working on core model development, pre-training, post-training, and model optimization.
Applied ML Scientist
Scientists who apply machine learning techniques to solve specific product or domain problems.
Research Management
Leaders who manage research teams, set research agendas, and guide scientific strategy.
Simulation Engineer
Engineers and scientists building simulation environments, synthetic data pipelines, physics engines, and virtual worlds for AI training and validation. Includes 3D reconstruction, embodied AI simulation, computational fluid dynamics, and digital twin systems.
Physical & Life Scientist
Scientists working in chemistry, biology, physics, pharmacology, and other physical or life sciences.
Recent Jobs
The latest Research & Science openings across the AI industry.