Applied AI Engineer, Beneficial Deployments (Lab Automation)

Overview

As an Applied AI Engineer on Anthropic’s Beneficial Deployments, Life Sciences team, you help Claude automate and advance scientific experiments across labs. You will translate field learnings into reusable assets and guide product and research directions around model hardware and safety in the physical world. This role blends hands-on lab automation with AI tooling to scale impactful research in education, health, and life sciences. You’ll engage with labs across the EMEA region, sharing knowledge and building trust to enable meaningful deployments.

Pay / Benefits

• competitive compensation
• optional equity donation matching
• generous vacation
• parential leave
• flexible working hours
• office space for collaboration

Responsibilities

• Collaborate with labs to automate experiments end-to-end using Claude, from advisory stages through prototyping to production code
• Influence product, engineering and research directions based on field experience (e.g., develop evals to test model limitations in the physical world; enhance MHS features)
• Create scalable, reusable assets (cookbooks, documentation) to extend impact to a broad set of labs
• Act as an EMEA ambassador for Claude in scientific settings, inspiring and building trust with researchers; travel as needed

Key requirements

• Hands-on experience integrating software with lab robots and instruments (liquid handlers, plate readers, scheduling software, LIMS) in automated lab environments
• Strong engineering ability to move an LLM-powered tool from prototype to production, including writing evals to assess performance
• Scientific intuition for experiments—knowing what to automate and where AI may fail or be unsafe in the physical world
• Experience collaborating with external customers or partners in a technical role
• Clear written and verbal communication; ability to produce accessible docs and give engaging talks
• Scrappy, multi-hat mentality; ability to drive clarity in ambiguity and push the mission forward

• communication
• collaboration
• adaptability
• Lab automation integration
• LLM-powered tool development
• Production-grade code for AI tooling

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