Applied AI Engineer (Beneficial Deployments, Lab Automation)

• We’re looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team
• Our goal is for Claude to close the loop on scientific discovery, and a significant part of this is helping Claude to drive scientific hardware and software
• You’ll help deploy the Model Hardware Standard (MHS) to labs doing the world’s most important research
• You’ll scale what you learn in the field by contributing back to the standard, building scalable assets, and driving associated internal product and research direction
• Work with labs to automate their experiments end-to-end with Claude - from advising, to prototyping, to writing production code
• Drive product, engineering and research direction based on field experience - e.g. building evals to measure limitations of our models in the physical world (capabilities and safety), developing new features on MHS, etc
• Scale your impact to the long tail of labs through reusable cookbooks, documentation, and other assets
• Be an EMEA ambassador for Claude in the lab - you’ll both inspire and build trust with scientific audiences, from small settings to large conferences
• This role will require significant travel

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office- A scientist’s instinct for how experiments work: you can spot what’s worth automating, and where AI might fail or be unsafe in the physical world
• Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance
• Experience working directly with external customers or partners in a technical role
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission
• Hands-on experience connecting software to lab robots and instruments (liquid handlers, plate readers, scheduling software, LIMS), ideally in an automated lab
• Clear written and verbal communication: you’ll write docs other labs can use without you and give talks that inspire and earn researchers’ trust
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• We encourage you to apply even if you do not believe you meet every single qualification