Applied Scientist, Engineering

Skills

About the Role

You will apply deep engineering or applied science expertise to measure and improve Claude's performance on complex engineering tasks. You'll design evaluations, tasks and training environments, build and validate simulations, and work with industry partners to bring real-world feedback into training.

Requirements

• Deep hands-on R&D or industry experience in an engineering or applied science discipline
• Experience with AI or machine learning
• Track record of taking work from concept to a working result
• Proficiency with computational design, analysis, or simulation tools
• Basic programming proficiency such as Python
• Ability to navigate ambiguity
• Ability to work independently and collaborate cross-functionally
• Bachelor's degree or equivalent experience

Responsibilities

• Design and implement evaluation methodologies for engineering and applied science capabilities
• Design realistic tasks and training environments and curate data
• Develop and validate simulations and computational tools calibrated against real-world data
• Work with industry partners and labs to build and test Claude's designs
• Assess how Claude's engineering capabilities can be adopted in industry and research
• Advise the team on important problems, tools, and workflows
• Establish benchmarks and gather high-quality training data with domain experts
• Translate between engineering domain knowledge and machine learning objectives

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Visa sponsorship