Applied AI Engineer, Beneficial Deployments (Lab Automation)
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Job summary
Anthropic in London, UK is seeking an Applied AI Engineer for Beneficial Deployments, Life Sciences. You will help deploy Claude in labs, scale assets, and guide internal product and research directions based on field experience.
You will automate experiments, collaborate with labs globally, and travel as needed to advance the mission of making AI safe, useful, and beneficial.
Qualifications
- Hands-on experience connecting software to lab robots and instruments in automated labs.
- Strong engineering skills: take an LLM-powered tool from prototype to production and write evals.
- Scientist's instinct for automating experiments and safety in the physical world.
- Experience working with external customers or partners in a technical role.
- Clear written and verbal communication; produce docs and talks for labs.
Responsibilities
- Work with labs to automate experiments end-to-end with Claude.
- Drive product, engineering and research direction from field experience.
- Scale impact with reusable cookbooks, documentation, and assets.
- Be an EMEA ambassador for Claude in the lab and at conferences.
- Role requires significant travel.
Skills
Education
Tools
Job description
London, UK
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences - focusing on raising the floor for those who need it most.
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
- Hands-on experience connecting software to lab robots and instruments (liquid handlers, plate readers, scheduling software, LIMS), ideally in an automated lab.
- Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance.
- 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.
- Experience working directly with external customers or partners in a technical role.
- Clear written and verbal communication: you’ll write docs other labs can use without you and give talks that inspire and earn researchers' trust.
- A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco.
- competitive compensation and benefits
- optional equity donation matching
- generous vacation and parental leave
- flexible working hours
- a lovely office space in which to collaborate with colleagues
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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