Applied Scientist

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? Does the opportunity to join a fast-paced, high-visibility, diverse team in a highly competitive market sound exciting to you? If so, this Applied Scientist role with the Microsoft Turing team may be a great fit for you

The Microsoft Turing team is an innovative research and engineering team working on state-of-the-art deep learning models to power end user experiences across the company. Applied scientists and software engineers in the Turing team work together to push the boundaries of large-scale deep learning models on Turing’s world class distributed training infrastructure. The team is pioneering search and the core copilot experiences across Microsoft’s ecosystem.

In addition to ensuring that Microsoft is pushing the state-of-the-art large-scale models, the Turing team also works on improving experiences across Microsoft’s products and services by working on high value scenarios. The Turing team has shipped capabilities across all of many Microsoft scenarios including M365 Copilots, Bing Chat, semantic search for enterprise and knowledge management (aka Cortex), quick reply on Outlook, Smart Compose features in Word, image enhancement models, image search models, recommendations, as well as many other features across Office, Bing, and Xbox.

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

- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
- Industrial experience coding in C++, C#, C, Java or Python.
- Familiarity with common machine learning, deep learning frameworks like Pytorch/Tensorflow.
- Experience communicating technical details clearly across organizational boundaries.

**Preferred Qualifications**:

- Solidability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
- Experience with shipping internet scale, low latency and high throughput systems AI products.
- 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.
- Strong publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.

**Other Requirements**:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

- ** Microsoft Cloud Background Check**: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.