Anthropic предлагает сфокусированную и значимую роль в AI с зарплатой выше рыночного ориентира и прямой связью с передовыми исследованиями. Главные компромиссы - частые поездки по EMEA и сочетание инженерных задач, лабораторной науки и работы с партнёрами.
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Много поездокШирокий круг задачВыше рынкаПередовой AIСовременный стекПонятное описание
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Hirify AI/Оригинал
TL;DR
Applied AI Engineer (Lab Automation) (AI/life sciences): Automate laboratory experiments end-to-end with Claude by connecting AI software to scientific hardware and lab systems, with an accent on production engineering, physical-world safety, and scalable deployment. Focus on building model evaluations, extending the Model Hardware Standard, creating reusable assets for laboratories, and translating field experience into product and research direction.
Location: London, UK. Hybrid policy requires staff to work from one of the offices at least 25% of the time, and the role requires significant travel across EMEA.
Annual salary: £225,000–£255,000 GBP
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
Automate laboratory experiments end-to-end with Claude, from advising and prototyping through production code.
Connect Claude and the Model Hardware Standard to scientific hardware and software used in research laboratories.
Use field experience to guide product, engineering, and research direction, including model evaluations for physical-world capabilities and safety.
Develop new Model Hardware Standard features and scalable cookbooks, documentation, and other reusable assets.
Represent Claude across EMEA by building trust with scientific audiences and presenting at conferences.
Requirements
Bachelor’s degree or equivalent education, training, or experience in a relevant field.
Hands-on experience connecting software to laboratory robots and instruments such as liquid handlers, plate readers, scheduling software, and LIMS.
Strong engineering ability to take an LLM-powered tool from prototype to production and write evaluations to measure performance.
Understanding of scientific experimentation, including where automation is valuable and where AI may 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, including technical documentation and presentations for scientific audiences.
Culture & Benefits
Collaborative work on large-scale AI research efforts focused on steerable and trustworthy AI.
Flexible working hours and office-based collaboration.
Generous vacation and parental leave.
Competitive compensation and optional equity donation matching.
Visa sponsorship is available, with immigration lawyer support, although sponsorship cannot be guaranteed for every role or candidate.
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