Senior Applied Scientist

Redmond, Washington, United States

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

 

The Artificial Intelligence (AI) Platform organization at Microsoft builds the end-to-end Azure AI stack/Platform as a Service (PaaS) and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure Machine Learning (ML), Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.

 

The Microsoft Azure AI for Language team is working on cutting-edge Natural Language Processing (NLP) and Deep Learning models to power Microsoft AI products and provide them as services to serve internal and external applications. The team focuses on applying deep learning techniques such as Supervised Fine-tuning (SFT), Low-Rank Adaptation (LoRA), Retrieval Augmented Generation (RAG), and others to solve AI problems such as No-code low-code AI models in Platform, Question Answering on your data, and various customer-facing products.

 

We are looking for a Senior Applied Scientist with a passion for AI quality, the ability to learn, and hands-on experience in delivering AI experiences, which our customers have come to expect.

 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

 

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.

 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

  • Keeping a keen eye on the latest developments in the broad AI community.
  • Working with science, engineering, and program management teams to integrate the latest large language models (LLMs) such as OpenAI models and open-source models into production systems.
  • Collaborating with other researchers, data scientists, product managers, and engineers in the team to build tools and improve the end-to-end AI Quality of our production systems.
  • Leveraging data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs.
  • Effectively communicating and demonstrating work to stakeholders
  • Other: Embody our Culture and Values

Qualifications

Required Qualifications:

 

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate 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 equivalent experience.
  • 3+ years’ experience coding in Python and experience in natural language processing or deep learning.
  • 2+ years' experience in a deep learning library, such as PyTorch or TensorFlow.

 

Preferred Qualifications:

  • Experience in working with cross-functional teams, such as product managers, designers, researchers, engineers, and stakeholders, and experience communicating & collaborating with leadership.

 

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until July 4, 2024.

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 

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Category: Data Science Jobs

Tags: Azure Computer Science Deep Learning Econometrics Engineering LLMs LoRA Machine Learning ML infrastructure NLP OpenAI Open Source Python PyTorch RAG Research Statistics TensorFlow

Perks/benefits: Career development Medical leave

Region: North America
Country: United States

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