Latest AI Research jobs at Scale AI

Research Scientist focused on evaluating frontier language and multimodal models, diagnosing failure modes, and building rigorous benchmarks. The role requires advanced training in AI or a related field, post-training expertise, and published machine learning research.

Research novel post-training methods for large language models, focusing on preference optimization, data curation, evaluation, alignment, and robustness across text and multimodal systems. Requires advanced academic training and experience with deep learning, reinforcement learning, and post-training techniques.

Research Advisors apply deep finance, legal, medical, or related expertise to evaluate advanced generative AI systems, shape model-governance frameworks, and collaborate on research and client engagements. Candidates need at least five years of relevant experience, strong analytical skills, and hands-on AI experience.

The fellowship engages experienced software engineers or technical researchers in designing evaluations, datasets, and expert analyses for advanced generative AI systems. Fellows contribute to applied AI research and publications with flexible remote project work.

STEM Fellows apply academic and professional expertise to design evaluation datasets, assess generative AI systems, and contribute research insights and publications. The fully remote, six-month independent contractor opportunity is suited to PhDs, postdoctoral researchers, and professors with relevant domain expertise.

Medical fellows apply clinical expertise to design scenarios, evaluate generative AI decision-making, and provide structured feedback for safer, more accurate healthcare systems. The role requires an MD or DO, board certification, strong clinical reasoning and writing skills, and a relevant medical specialty.

Lead a team of research scientists and engineers on GenAI initiatives including evaluation, post-training, agents, and RL. Define multi-year research roadmaps, drive execution from prototype to deployment, publish at top venues, and collaborate cross-functionally in a fast-paced environment. Requires 5+ years research experience, strong publication record, and management background (PhD preferred).

Develop and apply post-training methods and interpretability techniques to improve safety and understanding of frontier AI systems. Requires 3+ years of ML experience, expertise in RL techniques like RLHF and DPO, and published research in generative AI.

Provides expert advisory on AI model behavior in finance, legal, or medical domains, collaborates on research tasks and publications, and engages in executive sales and GTM activities. Requires 5+ years top-tier experience and advanced degree (PhD/Masters/MD/JD).

Designs evaluation measures, harnesses, and datasets to assess risks from frontier AI systems, including dangerous capabilities testing. Collaborates with agencies, publishes methodologies for policymakers; requires 3+ years ML experience and publications in generative AI.

Research Scientist focuses on agent robustness, developing tests, exploits, and mitigations for safe AI agents. Requires 3+ years ML experience, RL techniques like RLHF/DPO, and published research in generative AI.

Designs methods, systems, and experiments for AI controls and monitoring to ensure alignment in high-stakes environments, including real-time tracking, fail-safes, and red-team simulations. Requires 3+ years ML experience, published research in generative AI, and strong prototyping skills.

Collaborate on high-impact AI research projects, design and review deep learning models in PyTorch, analyze GPU performance, and co-author publications. Requires PhD in CS/AI/ML and hands-on expertise with Transformers, CNNs, and diffusion models.

Develops next-gen Agent RL training platform for enterprise GenAI, integrating cutting-edge research to train state-of-the-art models for complex use cases. Requires 5+ years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.

Develops and deploys state-of-the-art ML models and agents for enterprise GenAI using RL training and post-training algorithms. Requires 1-3 years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.

Develops and optimizes post-training algorithms for agent RL platforms, focusing on LLM training, inference frameworks, and multi-agent systems. Requires 1-3 years production LLM experience, expertise in PyTorch/CUDA, RLHF/PPO, and advanced degree.

Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.