Microsoft Senior Principal Machine Learning Engineer 

United States, Washington, Redmond 

989069602

We are building a planet-scale multi-modal database from the ground up. You will be part of the team that is reimagining the databases in the era ofLarge Language Models (by deeply integratingArtificial Intelligence (into all parts of the stack.

As aSenior Principal Machine Learning Engineer, you will lead and collaborate with a team of passionate engineers, driving ideas to impactful results in a fast-paced environment. You will work on designing, building, and deploying large-scale machine learningsystems, withemphasis on production-grade solutions involving data pipelines, distributed training, model serving, and performance optimization. You are experienced in machine learning engineeringfrom ideation and algorithm selection,to architecture and implementation, to deployment and continuous improvement.

great communicationskills helps deliver superior products and is key to success. This is

Required Qualifications

• Bachelor's Degree inComputerScience,Machine Learning or Artificial Intelligence, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • ORMaster's Degree inComputerScience,Machine Learning or Artificial Intelligence, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR DoctorateinComputerScience,Machine Learning or Artificial Intelligence, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Proven experience in training large-scale modernMachine Learning (ML)models (e.g., transformers, diffusion models, foundation models).
• Hands-on experience inkey model optimization techniques (e.g., mixed precision training, distributed training, fine-tuning, RLHF, LoRA).
• Familiarity with model evaluation, data curation pipelines, and reproducible research practices.

Preferred Qualifications

• Master's Degreein ComputerScience,Machine Learning or Artificial Intelligence, or related fieldAND 12+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctoratein ComputerScience,Machine Learning or Artificial Intelligence, or related fieldAND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Deep understanding of modern deep learning frameworks such asPyTorchor TensorFlow, and scalable training infrastructure.
• First-author publication in top-tier machine learning conferences or journals (e.g.,NeurIPS

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until September 3, 2025.

• velopand deploy scalable Machine Learning models.
• Develop robust evaluation frameworks to assess model performance, conduct systematic benchmarking, and addressidentifiedweaknesses while ensuring compliance with customer standards.
• Defines the vision and strategy for collaboration efforts between researchers and development teams at the individual product level. Bringsnew technologyand approaches into production by applying long-term research efforts to solve immediate product needs. Drives high-stakes negotiations across teams to ensurecutting edgetechnology is being applied to products in a practical way that meets key businessobjectives. Ensures that teams apply an understanding of research approaches used across and outside of the company toleverage(and not re-invent) solutions.Representsthe organization across the company.
• Incorporates key business and product requirements to define a clear agenda and vision that influences the direction of the company/products and provides a competitive or strategic advantage. Drives programs structured around the specificity of key business challenges. Provides strategic direction for the kinds of data used to solve problems.
• Embody our and .