Research Engineer

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Research Engineer, Knowledge Foundations

Anthropic•San Francisco, California, United States

As a Research Engineer on the Knowledge Work team, you will design and execute experiments to enhance Claude's ability to search, retrieve, and reason over information at scale. This involves developing training environments, curating data, and building evaluations to improve model behavior in real-world professional workflows.

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Research Engineer, Economic Research Data Platform

Anthropic•San Francisco, California, United States

As a Research Engineer on the Economic Research Data Platform team, you will design, build, and maintain critical infrastructure that powers Anthropic's research on AI's economic impact. This involves developing data pipelines, designing new systems for understanding AI usage, and creating APIs and interfaces to serve data to researchers and the public.

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Research Scientist and Engineer

Anthropic•Zürich, Switzerland

This role involves conducting cutting-edge research and practical engineering to develop the next generation of large language models, with a primary focus on multimodal capabilities. You will contribute to model architecture, algorithm development, data processing, and scaling training infrastructure for safe, steerable, and trustworthy AI systems.

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ML Infrastructure Engineer, Safeguards

Anthropic•San Francisco, California, United States

As a Machine Learning Infrastructure Engineer in the Safeguards organization, you will design, build, and scale critical infrastructure for AI safety systems. This role involves working at the intersection of machine learning, distributed systems, and AI safety to ensure reliable and trustworthy AI models.

MC

MLOps Engineer

Multiverse Computing•Multiple, Global

As an MLOps Engineer, you will be responsible for deploying cutting-edge ML/LLM models to clients and designing, developing, and implementing ML/LLM pipelines. This role involves employing automation tools, establishing monitoring systems, and collaborating with various teams to optimize model performance and resource utilization.

MC

Machine Learning Engineer (LLM)

Multiverse Computing•Madrid, Spain

We are seeking a skilled Machine Learning Engineer with expertise in Large Language Models to design, implement, and optimize LLMs using cutting-edge quantum and AI technologies. This role involves building LLM-based applications, conducting performance evaluations, and collaborating with cross-functional teams to integrate models into products.

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Research Engineer, Knowledge Foundations

Anthropic•San Francisco, California, United States

As a Research Engineer on the Knowledge Work team, you will design and execute experiments to enhance Claude's ability to search, retrieve, and reason over information at scale. This involves developing training environments, curating data, and building evaluations to improve model behavior in real-world professional workflows.

A

Research Engineer, Economic Research Data Platform

Anthropic•San Francisco, California, United States

As a Research Engineer on the Economic Research Data Platform team, you will design, build, and maintain critical infrastructure that powers Anthropic's research on AI's economic impact. This involves developing data pipelines, designing new systems for understanding AI usage, and creating APIs and interfaces to serve data to researchers and the public.

A

Research Scientist and Engineer

Anthropic•Zürich, Switzerland

This role involves conducting cutting-edge research and practical engineering to develop the next generation of large language models, with a primary focus on multimodal capabilities. You will contribute to model architecture, algorithm development, data processing, and scaling training infrastructure for safe, steerable, and trustworthy AI systems.

A

ML Infrastructure Engineer, Safeguards

Anthropic•San Francisco, California, United States

As a Machine Learning Infrastructure Engineer in the Safeguards organization, you will design, build, and scale critical infrastructure for AI safety systems. This role involves working at the intersection of machine learning, distributed systems, and AI safety to ensure reliable and trustworthy AI models.

MC

MLOps Engineer

Multiverse Computing•Multiple, Global

As an MLOps Engineer, you will be responsible for deploying cutting-edge ML/LLM models to clients and designing, developing, and implementing ML/LLM pipelines. This role involves employing automation tools, establishing monitoring systems, and collaborating with various teams to optimize model performance and resource utilization.

MC

Solution Architect - AI, Quantum Solutions

Multiverse Computing•Milan, Italy

This Solutions Architect role involves joining the pre-sales team to bridge the gap between Multiverse Computing's advanced AI and quantum technology and customer needs. The successful candidate will be responsible for crafting innovative, scalable, and robust AI-powered solutions for enterprises.