Applied Scientist, Engineering (AI)

Location: San Francisco, CA. Hybrid policy: staff are expected to be in one of Anthropic's offices at least 25% of the time; some roles may require more office time.

Annual salary: $320,000–$405,000 USD.

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Design and implement evaluation methodologies for AI capabilities in engineering and applied science.
• Design realistic tasks and training environments and curate domain-specific data.
• Develop and validate simulations and computational tools, calibrating them against real-world data.
• Work with industry partners, manufacturers, and laboratories to build and test Claude's designs and feed real-world results into evaluation and training.
• Establish benchmarks, gather high-quality training data, and advise on high-impact problems, tools, and workflows.
• Translate engineering domain knowledge into machine learning objectives and assess how AI capabilities can be adopted across research and industry.

Requirements

• Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline, including mechanical, electrical, materials, chemical, aerospace, structural, industrial, or manufacturing engineering; applied physics; or computational simulation.
• Experience with AI or machine learning through evaluating and training AI systems or applying these tools in a relevant field.
• Track record of taking work from concept through to a working product, process, device, experiment, or tool.
• Hands-on proficiency with computational design, analysis, or simulation tools used in the relevant field.
• Basic programming proficiency, such as Python.
• Ability to navigate ambiguity, develop solutions in a rapidly evolving research environment, work independently with cross-functional teams, and explain technical expertise to non-specialists.
• Commitment to using AI to accelerate engineering and scientific progress while maintaining high ethical standards.
• Minimum education: bachelor's degree or an equivalent combination of education, training, and experience in a relevant field demonstrated through coursework, training, or professional experience. Minimum experience correlates with the internal job level.

Nice to have

• 5+ years of hands-on R&D or industry experience in an engineering or applied science discipline.
• Ph.D. in an engineering or applied science field, or equivalent industry experience.
• Industry experience in product design and manufacturing or engineering and scientific simulation software.
• Breadth across multiple disciplines or multiple stages from design to production.
• Familiarity with modern AI model training methods.
• Experience building high-fidelity solvers or simulation engines validated against real-world data and used in practice.
• Experience working with manufacturers, vendors, contract research organizations, or academic laboratories.
• Experience managing data pipelines and large-scale technical datasets.
• Publications, patents, or contributions to open-source scientific or engineering software.

Culture & Benefits

• Collaborative research environment focused on large-scale AI research and empirical evaluation.
• Competitive compensation, optional equity donation matching, generous vacation and parental leave, and flexible working hours.
• Office-based collaboration supported by a hybrid policy.
• Visa sponsorship may be available; Anthropic makes reasonable efforts to support visas and provides access to an immigration lawyer.
• Candidate AI-usage guidance applies during the application process.