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Senior Machine Learning Engineer (Multiple Positions)

Microsoft

$119,800 - $258,000
Sep 18, 2025
Mountain View, CA, US
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Deliver modern, intelligent, and collaborative experiences to millions of PowerPoint customers by applying machine learning to real-world problems and adapting large language models to task-oriented domain-specific using techniques such as fine-tuning and reinforcement learning.

Requirements

  • 2+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics.
  • 4+ years of experience in software development.
  • Proficiency in Python and familiarity with coding in multiple languages.
  • Proficiency in using ML libraries from sources such as Hugging Face.
  • Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications.
  • Deep knowledge of algorithms, machine learning, and distributed/cloud computing systems (e.g., Spark, Hadoop, Azure)

Responsibilities

  • Finetune and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets.
  • Develop and ship machine learning models and large language model applications to customers.
  • Measure the impact of models and work with product teams to design Artificial Intelligence (AI)-powered experiences.
  • Foster a healthy and inclusive team environment and collaborate effectively with engineers and applied scientists in the team.
  • Embody our culture and values

Other

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Ability to quickly ramp up on various domains within Machine Learning
  • Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines
  • Ability to work in a team environment and collaborate effectively with engineers and applied scientists