320K–405K USD / year
Applied Scientist, Engineering
AIHybrid — San Francisco, CA
Published on 2026-11-05
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About this role
Develop methods to evaluate and improve Claude’s capabilities in engineering and applied science. The role combines domain expertise, AI research, simulation, and real-world testing to help Claude design and engineer useful systems safely.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
Discovery team
What you'll do
- Design evaluations, realistic tasks, and training environments for engineering and applied science capabilities
- Curate domain data and develop or validate simulations and computational tools against real-world data
- Partner with manufacturers and labs to build and test Claude’s designs, incorporating feedback into evaluations and training
- Identify high-impact applications and advise on relevant problems, tools, and workflows
- Establish benchmarks and translate engineering domain knowledge into machine learning objectives
What we're looking for
- Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline
- Experience with AI or machine learning, through research, evaluation, training, or application in your field
- Track record of taking work from concept to a working product, process, device, experiment, or tool
- Proficiency with computational design, analysis, or simulation tools in your field
- Basic programming proficiency, such as Python
- Ability to work independently, collaborate across functions, navigate ambiguity, and explain technical concepts clearly
- Commitment to using AI responsibly to accelerate scientific and engineering progress
Nice to have
- Five or more years of relevant hands-on experience
- Ph.D. or equivalent industry experience
- Experience in product design and manufacturing or engineering and scientific simulation software
- Breadth across disciplines or across the design-to-production lifecycle
- Familiarity with modern AI model training methods
- Experience building high-fidelity solvers validated against real-world data
- Experience with manufacturers, vendors, contract research organizations, or academic labs
- Experience with large-scale technical data pipelines, or publications, patents, or open-source contributions
Benefits
- Flexible working hours
- Generous vacation and parental leave
- Optional equity donation matching