Member Of Technical Staff (Health AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Member of Technical Staff (Health AI): Building and optimizing next-generation LLM systems for healthcare applications with an accent on safety, model evaluation, and production deployment. Focus on bridging research and engineering to deliver trusted AI solutions within ’s consumer ecosystem.
Location: Hybrid role based in London, UK. Employees are expected to work from the designated office at least four days a week.
Company
A global technology leader driving innovation in AI, cloud computing, and consumer software services.
What you will do
- Design and validate hypotheses across a cutting-edge language modelling stack.
- Develop and deploy LLM solutions for healthcare, covering prompt design, inference, and evaluation.
- Work across research and engineering boundaries to ensure models are useful, trusted, and safe.
- Collaborate with cross-functional teams including product managers and designers.
- Contribute to a positive, inclusive team culture within a lean, founding-team environment.
Requirements
- Bachelor’s Degree in Computer Science or a related technical discipline.
- Technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python.
- Demonstrated full-stack experience in large-scale AI, evidenced by publications, open-source contributions, or industry work.
- Deep expertise in at least one AI stack area: prompt engineering, pre-training, fine-tuning, RL/DPO, data curation, or LLM inference.
- Ability to work effectively in a hybrid office environment in London.
Nice to have
- Experience flexing across research and engineering boundaries.
- Passionate about conversational AI and its real-world deployment.
- Strong written and verbal communication skills for cross-functional collaboration.
Culture & Benefits
- Opportunity to work on high-impact, safety-critical health AI products.
- Collaborative environment with experts from big tech and frontier AI research labs.
- Access to resources and scale of a major global organization.
- Commitment to an inclusive work environment fostering knowledge sharing and growth.
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