Principal Applied Scientist

As a Principal Applied Scientist in the Turing team, you be pushing & delivering on multiple tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. This will involve coordinating & aligning with internal & external data science, product & engineering teams across timezones.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

• Driving projects from design through conception, implementation, experimentation and finally shipping to our users. This requires deep diving into data to identify gaps, coming up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setting up the engineering pipeline or infrastructure to run them.
• Documenting progress & processing, assisting & guiding junior team members, aligning & unblocking them with other stakeholders in timezones.
• Coming up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets.
• Hands on pre-training, fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This may also require understanding of training frameworks, formats, checkpoints, stacks such as megatron.
  
  This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology.