Microsoft Senior Applied Scientist 

United States, Washington 

628761319

multimodal large language model solutions. This role involvesand enhancing OpenAI models to providemultimodal large language. You will find great R&Dto work with industry leading large language models andproducts forproducts. You will work as part of a team that brings together talent in the areas of large language model, software engineering, computer vision, natural language understanding, and speech recognition.

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

Preferred Qualifications:

• 3+ years of experience in one or more of the following areas: large language models, natural language processing, computer vision, and machine learning.

• 3+ years of programming experience in Python.

• 2+ years of experience with at least one deep learning toolkit, such asPyTorchor TensorFlow

• Extensive experience in large language model development.

• Extensive experience in multimodal embedding development.

• Master’s or PhD (or candidates) in Computer Science or related fields, with a focus on one or more of the following: large language models, natural language processing, computer vision, and machine learning.

• 3+ years of programming experience in C# (preferred), C++, or Java, with solid engineering practices.
• Strong software development skills and an aptitude for software design, coding, and quality. Experience with Docker and Kubernetes is a plus.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Architect, design, and develop the next generation of multimodal large language model solutions.

• Collaborate with researchers, applied scientists, and machine learning engineers to design and build these solutions.

• Engage with customers and product managers to understand requirements and iterate on the product.
• Leverage and enhance OpenAI models and other large language models to deliver world-class AI quality.