Find your next AI-scored role.

Research Scientist at Anthropic building Claude into a superhuman life sciences research assistant. Focus on post-training, evaluation design, RL environments, and agentic tools for computational biology workflows.

Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, machine learning, and scientific computing with real-world deployment in mission-critical systems.

Senior Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, controls, signal processing, and machine learning with deployment to mission-critical military applications.

Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, machine learning, and scientific computing with deployment to mission-critical military applications.

Senior Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, controls, signal processing, and machine learning with deployment to mission-critical military applications.

Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, machine learning, and scientific computing with deployment in mission-critical military applications.

Senior Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, controls, signal processing, and machine learning with deployment in mission-critical systems.

Senior Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, controls, signal processing, and machine learning with deployment to mission-critical systems.

Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, machine learning, and scientific computing with deployment in mission-critical military applications.

Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, machine learning, and scientific computing with real-world deployment in mission-critical systems.

Research Scientist at Anduril Industries developing state-of-the-art algorithms and software for AI-powered defense systems. Focus on applied mathematics, machine learning, and scientific computing with real-world deployment in mission-critical systems.

Staff Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for RAG and semantic search. Conduct cutting-edge research on language models and information retrieval, collaborating with researchers from top institutions.

Research Scientist at Scale AI focused on safety post-training methods and interpretability techniques for frontier AI systems. Develops post-training pipelines, interpretability-informed evaluations, and collaborates with policymakers to translate findings into safety standards and benchmarks.

Research Scientist at Scale AI designing evaluation harnesses and datasets to measure risks from frontier AI systems. Focus on agent robustness, AI control protocols, and safety evaluations for policymakers and industry.

Research Scientist at Scale AI designing monitoring techniques, control mechanisms, and red-team simulations for advanced AI systems. Focus on AI safety, alignment, and oversight protocols to ensure models remain aligned with intended goals in high-stakes environments.

Research Scientist at Scale AI focused on agent robustness, safety, and AI control. Work on benchmarking AI agent capabilities, designing evaluation harnesses, and identifying failure modes in agentic systems.

Principal Research Scientist leading Databricks' LLM scaling and efficiency research team. Focus on post-training, RL, inference optimization, and distributed systems. Hands-on leadership combining research innovation with production impact.

Staff Research Scientist at Databricks leading research on agent information retrieval, RAG, and embeddings. Focus on advancing retrieval techniques, benchmarking, and cross-functional collaboration on enterprise agent systems.

Principal Research Scientist at Databricks leading a team on LLM scaling, efficiency, and post-training research. Focus on advancing foundation model training and inference optimization through algorithmic innovation and systems collaboration.

Principal Research Scientist at Databricks leading a team on LLM scaling, efficiency, and post-training optimization. Focus on advancing foundation model training and inference through algorithmic innovation and systems collaboration.

Senior Research Scientist at Databricks leading independent research on foundation model efficiency, optimization, and reinforcement learning. Focus on algorithmic innovations for large-scale neural network training and inference, with hands-on implementation in distributed systems.

Senior Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for RAG and semantic search. Focus on frontier LLMs, information retrieval, and deploying neural networks at scale.

Tech Lead/Manager for LLM Evals Research at Scale AI. Lead a team developing novel evaluation methodologies, benchmarks, and metrics for large language models. Partner with frontier AI labs on rigorous evaluation standards.

Staff ML Research Scientist at Scale AI leading development of novel LLM evaluation methodologies, benchmarks, and metrics. Focus on designing evaluation protocols, publishing research, and mentoring research teams.

Senior/Staff ML Research Scientist at Scale AI focusing on agent capabilities and environments. Research on LLM agents, RL reward signals, and benchmarking autonomous agent performance across real-world scenarios.