Applied Scientist - LLM

• Investigate, design, prototype, test, validate and deliver machine learning/AI localization features using best in class technologies and frameworks.
• Collaborate with multiple disciplines: Product Managers, Applied & Data Scientists, Software Engineers, and partner teams to deliver and contribute to solutions.
• Leverage Azure services (e.g., Azure ML, Azure DevOps, Azure Data Factory) and develop customized modules to instrument MLOps to monitor, adjust and improve our services.
• Support and manage machine learning models, production pipeline, and experimentation platform, contributing to all stages of model development, deployment and monitoring.

Required Qualifications: 

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, data modeling or data engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
  • OR equivalent experience.
• Expertise in various ML frameworks and libraries (Scikit-learn, PyTorch/TensorFlow, Azure ML, OpenAI, HuggingFace).

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.

Preferred Qualifications: 

• Fluency with recent NLP & ML advancements e.g. large language models, as well as a driven passion for discovering the next generation of technology.
• Experience working on Machine Translation or language-related tasks would offer a distinct advantage.
  
• Excellent knowledge of experimental design and evaluation.
  
• Experience working in a technical problem domain (plan, design, execution, continuous release, and service operation).
  
• Excellent research skills and experience in bringing cutting-edge research ideas into production to deliver business impact.
  
• Proven track record of shipping Machine Learning/AI features.
  
• Excellent communication skills, inter-personal & collaboration skills.
• Proficiency with large data sets (structured and unstructured), relational databases, database-design and ELT.

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. 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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