Applied Scientist- Ii

Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows.

As an **Applied Scientist
- II** in the Turing team, you will be involved in tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more.

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.

**Responsibilities**:
As an Applied Scientist on our team, you'll be responsible for and will engage in:

- Driving projects from design through implementation, experimentation and finally shipping to our users. This requires deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setup the engineering pipeline or infrastructure to run them.
- Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets.
- Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration.

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.

**Qualifications**:
**Required Qualifications**:

- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
- 2+ years of industrial experience coding in C++, C#, C, Java or Python
- Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets
- Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Experience in pytorch or tensorflow is a bonus.
- Ability to communicate technical details clearly across organizational boundaries.

**Preferred Qualifications**:

- Solid ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
- Prior experience with Azure or any other cloud pipelines or execution graphs.
- Self-driven, results oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes.
- Customer/End-result/Metrics driven in design and development.
- Keen ability and motivation to learn, enter new domains, and manage through ambiguity.
- Solid publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.

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