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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, Agents at Anthropic building agentic systems and infrastructure for Claude. Focus on agent harness design, benchmarking, evaluation, and model optimization for complex multi-step tasks.

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 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 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 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 empirical AI safety research. Focus on scalable oversight, AI control, alignment stress-testing, and safeguards for advanced AI systems.

Prompt Engineer at Anthropic specializing in Claude Code system prompts. Owns behavioral tuning, model-specific prompt guides, and incident response for new model releases. Works across product, research, and safeguards teams.

ML Systems & Performance Fellow at Anthropic. Four-month full-time research program with mentorship, focusing on empirical projects in ML systems, performance optimization, and infrastructure. Goal is to produce a public research output.

Research Engineer at Anthropic's Safeguards Labs investigating novel safety methods for Claude. Design offline analyses, build detection systems, and prototype safeguards to protect against model misuse and abuse.

Research Engineer at Anthropic building reinforcement learning environments to train Claude for virtual collaborator workflows. Focus on RL pipelines, data creation platforms, and evaluation systems for enterprise productivity tasks.

Research Engineer at Anthropic building large language models for pre-training. Focus on model architecture, training infrastructure optimization, and scaling distributed systems while advancing AI safety and alignment.

Research Engineer/Scientist at Anthropic's Pre-training team in Zürich, focused on developing multimodal large language models. Work spans model architecture, training infrastructure optimization, and safety-focused AI systems.

Research Engineer on Anthropic's Post-Training team implementing and scaling Constitutional AI, RLHF, and alignment techniques for production Claude models. Work spans research and production engineering to enhance model capabilities, safety, and alignment.

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 Engineer at Anthropic building production pretraining infrastructure for large language models. Focus on performance optimization, reliability, debugging, and scaling across the full training stack including hardware, networking, and model operations.

Prompt Engineer at Anthropic building system prompts, evaluations, and infrastructure for Claude products. Role bridges model capabilities and product experience across consumer and API surfaces, requiring 5+ years software engineering and demonstrated LLM/prompt engineering expertise.

Research Engineer in Reinforcement Learning at Anthropic building agentic models via tool use and computer interaction. Focus on RL infrastructure, training environments, and scaling systems for autonomous capabilities in Claude 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's ML Performance and Scaling team, training production pretrained models. Focus on performance optimization, hardware debugging, and large-scale distributed systems reliability during model launches.

Research Scientist at Anthropic's Frontier Red Team building tools and frameworks to defend against AI-enabled cyber threats. Focus on autonomous vulnerability discovery, AI agent evaluation in security environments, and policy-informing demonstrations.

Technical Lead, Applied AI at Mistral AI leading teams to deploy enterprise AI solutions. Hands-on role combining IC coding with team leadership on fine-tuning, RAG, and agentic systems.

Research Lead on Anthropic's Training Insights team, designing and leading novel evaluation methodologies to measure model capabilities across training and deployment. Hands-on leadership role spanning model development lifecycle, with cross-organizational impact on safety and capability measurement.

Research Scientist/Engineer at Anthropic focused on honesty and alignment. Develop techniques to minimize hallucinations, enhance truthfulness in language models, and create evaluation frameworks for model accuracy and calibration.

Research Engineer at Anthropic building large-scale ML systems for safe, steerable AI. Work spans infrastructure, training optimization, scientific experiments, and tooling across the full stack.

Research Engineer at Anthropic building empirical AI safety research. Focus on alignment stress-testing, AI control methods, and evaluating robustness of safety techniques on large language models.

AI Scientist at Mistral AI researching and developing novel methods for mobile manipulation robots. Focus on building training and evaluation infrastructure for AI models at scale, with hands-on deployment on physical robot platforms.

Research Engineer at Anthropic building reinforcement learning systems for code generation and accelerator performance. Focus on RL environments, evaluations, and scaling research into production training runs.

Research Engineer/Scientist on Anthropic's Audio team building speech and audio models. Work across audio ML stack including codecs, speech language models, diffusion models, and conversational AI systems.

Research Engineer at Anthropic working on pretraining for large language models. Focus on model architecture, training infrastructure optimization, and scaling distributed systems while advancing AI safety and alignment.

Forward Deployed Engineer at Anthropic embedding with enterprise customers to build production AI applications using Claude models. Combines engineering expertise with customer-facing skills to ship advanced AI solutions, including agents, MCP servers, and deployment patterns.

Forward Deployed Engineer at Anthropic embedding with federal civilian customers to build production AI applications using Claude models. Combines engineering expertise with customer-facing skills to drive AI adoption and develop innovative solutions for government workflows.

Staff Software Engineer at Anthropic building evaluation and research infrastructure for Claude Code. Set technical direction on eval frameworks, ML systems, and tooling that measure and improve coding capabilities.

Research Engineer at Anthropic building AI observability systems to monitor and analyze large-scale training and deployment data. Design full-stack tools for safety teams to surface patterns and maintain human oversight over AI systems.

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 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.

Privacy Research Engineer at Anthropic designing and implementing privacy-preserving techniques for large language models. Role involves auditing frontier models, developing privacy-first training algorithms, and setting privacy policy direction.

Research Engineer at Anthropic working on the Science of Scaling team to develop next-generation large language models. Role spans research and engineering across training infrastructure, algorithm design, and experimental optimization for safe, steerable AI systems.

Applied AI Engineer at Anthropic's Beneficial Deployments team, focused on deploying Claude in life sciences research. Build production systems, MCP servers, and agent infrastructure with flagship research institutions like HHMI and Allen Institute.

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.

Forward Deployed Engineer at Anthropic embedding with enterprise customers to build production AI applications using Claude models. Combines engineering expertise with customer-facing skills to drive AI adoption and develop innovative solutions for complex business challenges.

Forward Deployed Engineer at Anthropic embedding with enterprise customers to build production AI applications using Claude models. Combines engineering expertise with customer-facing skills to ship advanced AI solutions, including agents, MCP servers, and deployment patterns.

STEM Fellow at Anthropic working on AI evaluation and capability improvement in scientific domains. Fellows pair domain expertise with Claude models to design rigorous evaluations, identify capability gaps, and apply AI to open problems in their field over a 3-month program.

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.

Staff/Senior Software Engineer at Anthropic building inference infrastructure to serve Claude at scale. Focus on distributed systems, request routing, fleet orchestration, and LLM inference optimization across multiple cloud platforms and AI accelerators.

Senior software engineer at Anthropic building inference infrastructure for Claude. Responsible for serving models at scale across distributed systems, optimizing compute efficiency, and enabling research through high-performance infrastructure.

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.

AI Scientist at Mistral AI focused on audio and speech modalities for large language models. Develop novel training methods, build infrastructure for model training and evaluation, and ship AI systems with real-world impact across reasoning, code, and agent use cases.

Applied Scientist / Research Engineer at Mistral AI developing state-of-the-art models across text, image, and speech modalities. Responsibilities include pre-training, post-training, data curation, evaluation, and deploying models on large GPU clusters.

AI Scientist at Mistral AI researching and developing novel methods for large language models. Focus on training, evaluation, and infrastructure for frontier AI systems at scale.