Find your next AI-scored role.

Research Engineer in Reinforcement Learning at Anthropic, building scalable RL infrastructure and training methodologies for large language models. Focus on agentic systems, tool use, code generation, and reasoning capabilities.

Offensive Security Research Engineer at Anthropic focused on safeguarding LLMs from adversarial misuse. Role involves vulnerability research, exploitation scaffolds, and defensive strategy development to mitigate risks from AI-enabled attacks.

Research Scientist at Anthropic's Frontier Red Team focusing on emerging societal risks from advanced AI systems. Design experiments, build evaluations, and develop defenses against risks from autonomous AI integration into business and infrastructure.

Design Engineer at Anthropic's Education Labs building product features that help users develop real skill with AI. Full-stack role combining research insights, interaction design, and production engineering to ship capability-focused experiences.

Research Scientist at Anthropic analyzing Claude's real-world usage patterns and building evaluations to assess model safety and alignment. Role involves cross-functional collaboration with fine-tuning, safeguards, and policy teams to translate research insights into model improvements.

Research Engineer at Anthropic building vision and spatial reasoning capabilities for Claude. Focus on multimodal model development, evaluation, and agentic infrastructure across pretraining, RL, and runtime techniques.

Research Engineer at Anthropic building autonomous AI systems and defensive agents to understand and counter adversarial AI. Focus on agent design, evals, robotics integration, and policy-relevant demonstrations.

Research Engineer at Anthropic building training environments for agentic AI systems. Role blends research and engineering, focusing on reinforcement learning, environment design, and capability evaluation for safe AI.

Research Engineer at Anthropic building reinforcement learning systems for secure coding and cybersecurity. Role blends research and engineering, requiring domain expertise in cybersecurity and machine learning to develop RL environments and advance model capabilities in defensive security.

Senior Research Scientist at Anthropic leading research on reward models and RLHF for large language models. Focus on novel architectures, LLM-based evaluation methods, and techniques to mitigate reward hacking.

Research Scientist in Interpretability at Anthropic, focused on mechanistic understanding of large language models. Develop methods to reverse-engineer neural network algorithms, design experiments at scale, and build infrastructure for interpretability research.

Research Engineer at Anthropic building infrastructure for reward model development. Focus on automating researcher workflows, enabling rapid iteration on reward signals, and scaling reward development across domains.

Research Engineer, Interpretability at Anthropic building specialized inference and training infrastructure for mechanistic interpretability research. Focus on scaling bottlenecks, activation extraction tooling, and supporting safety audits on frontier models.

Staff Research Engineer at Anthropic working on the Discovery Team to build AI systems capable of scientific reasoning and computer use. Role spans model training, evaluation, inference optimization, and distributed systems to advance toward scientific AGI.

Research Engineer at Anthropic building post-training pipelines for production Claude models. Focus on implementing Constitutional AI, RLHF, and alignment techniques at scale on frontier models.

Research Engineer at Anthropic building RL training environments to improve Claude's capabilities across new domains. Role combines ML research, data operations, and vendor management to scale model fine-tuning and reward design.

Staff Applied AI/ML Engineer at Gusto building ML infrastructure and models for the Retirement-App platform. Focus on developing production-ready solutions for anomaly detection, personalization, and generative AI applications.

Senior/Manager, Machine Learning at Airbnb leading ML engineers on AI-powered community support products. Focus on LLM and ML model development, team leadership, and scaling AI systems for guest/host support experiences.

Senior Software Engineer at Decagon building AI agents for enterprise customer support. Focus on designing and deploying mission-critical agents across voice, chat, and email channels, with direct customer collaboration and platform evolution.

Senior Forward Deployed Data Scientist/Engineer at Scale AI building data products and evaluation systems for enterprise customers. Combines statistical modeling, product development, and AI deployment to solve high-impact customer problems with measurable outcomes.

Principal AI Solutions Engineer at SambaNova building enterprise AI solutions, agentic systems, and reference architectures on the SambaNova Suite platform. Combines deep ML expertise with customer-facing technical leadership for LLM deployment and optimization.

Staff GenAI Engineer at Datadog building agentic investigation and incident troubleshooting tools for the APM platform. Lead design, training, and deployment of GenAI/ML models at scale across cross-functional teams.

Staff AI Engineer at Datadog building AI-driven workflows for the Notebooks product. Focus on natural-language data analysis, agent systems, and ML-powered features at scale.

Staff AI Engineer at Datadog building AI-driven workflows for the Notebooks product. Focus on natural-language data analysis, agent systems, and ML-powered features at scale.

Staff AI Engineer at Datadog building AI-driven workflows for the Notebooks product. Focus on natural-language data analysis, agent systems, model deployment, and technical leadership of large-scale ML initiatives.