Microsoft Senior Applied Scientist - Fine Tuning AI 

Brazil 

220710287

the cuttingedge inmodel developmentpushes technological boundaries.andidates with interest and experience in language model training,

the product roadmap

firmly believe

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.
• Hands on experience training/fine tuning AI/ML models, preferably LLMs/SLMs.
• Hands on experience buildingGenerative AIpipelines,e.g.with RAG.
• ProficientwithPythonandPyTorch.

Preferred Qualifications:

• Doctorate in Statistics, Econometrics, Computer Science, Electrical
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
• Experience with reinforcement learning literature and algorithms.
• Deep knowledge of transformer models and architectures
• Experience withreinforcement learning algorithms and applications.

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.

• Train and deploy Language Models adapted to specific industry needs.
• Create and adapt novel training and fine-tuning algorithms for language models.
• Identifies, researches, and implements machine learning solutions given product requirements.
• Brings a research project to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems.
• Document and share best practices across the organization.
• Supports mentorship byassistingwith onboarding of research interns or other entry-level team members.
• Embody ourand.