AdTechTalent
Data Science7 days agoOn-site

Microsoft

Principal Applied Scientist

machine learningtransformersgenerative AIreinforcement learningdeep learningLLMA/B testingdata pipelinespredictive analyticsMicrosoft AdsCopilotAI research

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Mountain View, United States; New York, US; Redmond, United States

Full job description

Join Microsoft AI Ads Engineering as a Principal Applied Scientist to design and implement advanced machine learning models and algorithms for Microsoft Ads and Copilot. Responsibilities include developing scalable ML models (transformers, generative AI, reinforcement learning), designing algorithms for ad selection and relevance, conducting A/B testing and offline validation, building data pipelines for large datasets, and integrating latest AI research. Required qualifications include a relevant degree with 3-6+ years experience or equivalent, programming and data analysis skills, expertise in generative AI, deep learning, reinforcement learning, transformers or LLM, and 6+ years developing large-scale ML models. The role is full-time, on-site in Redmond, Mountain View, or New York. Salary ranges from $142,800 to $274,800 annually, with higher ranges for Bay Area and NYC. Benefits and additional compensation may apply.

What you'll do

  • Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot
  • Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance
  • Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions
  • Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications
  • Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms

Requirements

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • OR equivalent experience
  • Preferred: Master's Degree AND 9+ years related experience or Doctorate AND 6+ years related experience or equivalent experience
  • Proven experience in programming and data analysis skills
  • Proven expertise in Generative AI, deep learning, Reinforcement learning, transformers or LLM
  • 6+ years of experience in developing and deploying large-scale machine learning models

Tech stack

machine learningtransformersgenerative AIreinforcement learningdeep learningLLMA/B testingdata pipelinespredictive analytics

Benefits

Certain roles may be eligible for benefits and other compensationLink to additional benefits and pay information: https://careers.microsoft.com/us/en/us-corporate-pay

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