🇬🇧 Member of Technical Staff, Health AI Full time

You will work in a small team within a broader organisation, designing and validating hypothesis across a cutting edge language modeling stack. Work in these roles will involve a hybrid of research and engineering, and can flex across every aspect of the language modeling stack to make models that are as useful and safe for health as possible.

- Design and implement full-stack AI applications, including pre-training, fine-tuning, prompt engineering, and reinforcement learning, to deliver safe and effective healthcare solutions.
- Collaborate across research and engineering boundaries to formulate and validate hypotheses, advancing language modeling and AI systems for health applications.
- Build and execute evaluation pipelines, ensuring large language models (LLMs) are useful, trusted, and safe for healthcare contexts, and deploy these models effectively in production environments.
- Work closely with cross-functional teams, including product managers and designers, to align technical implementations with strategic healthcare goals.
- Continuously learn and incorporate emerging technologies, best practices, and industry trends to maintain the state-of-the-art in conversational AI and healthcare applications.

- Deep, full-stack expertise in designing and evaluating AI applications. Evidence of this may include research papers at top AI conferences and journals, open source projects, industry experience in building production AI stacks.
- Strong intuition about pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design.
- Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles.
- Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python or equivalent experience.
- Demonstrated full-stack experience in large-scale AI. Empirical evidence of this in the form of top tier publications, open source contributions, and/or on-the-job work experience.

Additional or Preferred Qualifications:
- Bachelor's/Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Or relevant experience
- Ability to flex across research and engineering boundaries, wearing a bit of both hats.
- Passionate about conversational AI and its deployment.
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.    
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.   
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect