Microsoft Member Technical Staff Health AI 

United Kingdom, England, London 

728024626

Across all our hires,important for colleagues to share our enthusiasm about the role of technology and AI in health andhealthcare, butalso appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space.By design we will remain a lean founding team (albeit within a much larger org), and as such you will need to be highlyself-sufficient, andbe able to span from high level strategy through to ground-level execution on a wide range of tasks. This also means you will playa major role

*Due to the festive break we will be in touch with candidates in January regarding next steps.

Required/Minimum Qualifications

• 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-stackexperience in large-scale AI.Empirical evidence of this in the form of top tier publications,open sourcecontributions, and/or on-the-job work experience.

• expertisein one or more parts of the AI stack, includingprompt engineering,pre-training,fine-tuning, reinforcement learning and direct preference optimization,data curation, LLM inference,orchestration,evaluation pipelines, and deployment.

or Preferred Qualifications

• Bachelor's/Master's Degree in Computer Scienceor related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOr relevant experience

• Ability to flex across research and engineering boundaries, wearing a bit of both hats.

• t.

• Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.

• new technologiesand staying up to date with industry trends, best practices, and emerging technologies in AI.

work across the full AI modeling stack, includingprompt design,- andinference, evaluation,LM systems design,and deployment. In this role, you willwork across research and engineering boundaries todeliver LLM solutions in healthcare.

You will work in a small team within a broaderdesigning andhypothesis across acutting edgelanguage modeling stack. Work in thwill involve a hybrid of research andengineering, andflex acrossevery aspect of the language modeling stack to make models that are as useful and safe for health as possible.

We are looking for early-hire full-stack candidates who possess:

• 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.