Latest ML Architect Jobs

[Expression of Interest] Research Engineer / Scientist, Alignment - London

Conduct experimental research on AI safety, focusing on alignment and robustness of advanced systems. Develop and test techniques like AI debate and jailbreak evaluation, contributing to publications and safety policy. Work in a collaborative, interdisciplinary team using machine learning and systems engineering.

Anthropic London, United Kingdom

Hybrid Permanent

Anthropic Fellows Program

A 4-month, full-time fellowship program offering mentorship and funding for technical talent to conduct empirical AI research aligned with Anthropic’s priorities in AI safety, security, systems, reinforcement learning, or policy. Fellows work on a project with the goal of producing a public output such as a research paper, supported by Anthropic researchers and access to compute resources.

Anthropic United Kingdom

Anthropic Fellows Program, AI Safety & Security

This role involves conducting full-time empirical AI safety research over a 4-month period, aligned with Anthropic’s priorities such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows will work on a self-directed project with mentorship from senior researchers, aiming to produce a public output like a research paper. The program offers a structured environment with access to compute funding, a shared workspace, and integration into the broader AI safety research community.

Anthropic United Kingdom

Anthropic Fellows Program, AI Security

This role involves conducting empirical research in AI security, focusing on identifying vulnerabilities in AI systems and contributing to open-source projects. Fellows will work on high-impact projects with mentorship from Anthropic researchers, aiming to produce public outputs such as research papers. The program emphasizes hands-on technical work in offensive security, red teaming, and empirical ML, within a collaborative research environment.

Anthropic United Kingdom

Anthropic Fellows Program, Reinforcement Learning

This role involves conducting full-time empirical research in reinforcement learning over a 4-month period, with mentorship from Anthropic researchers. Fellows will design and implement projects such as building RL environments to improve AI model capabilities or safety, using external tools and infrastructure. The program emphasizes rapid experimentation, collaboration, and producing public research outputs like papers.

Anthropic United Kingdom

Hybrid Temporary