Senior Applied Scientist

2 Months ago • 3-8 Years • Artificial Intelligence • $117,200 PA - $229,200 PA

Job Summary

Job Description

The Senior Applied Scientist at Microsoft's Trust, Safety, and Intelligence team will leverage deep learning (generative AI, large language models, large vision models) to develop content moderation models. Responsibilities include research and development, end-to-end ownership of projects (ideation to production), data analysis and transformation for model development, contributing to content moderation policies, improving data labeling and model design, mentoring junior scientists, and documenting work. The role involves working with large datasets and deploying models to protect millions of users from harmful content.
Must have:
  • Develop content moderation models
  • End-to-end project ownership
  • Data analysis & transformation
  • Deep learning expertise
  • Mentoring junior scientists
Good to have:
  • Model deployment & debugging
  • Experience with large language models
  • Computer vision model experience
  • Distributed big data processing
  • Statistical analysis & visualization
Perks:
  • Industry-leading healthcare
  • Educational resources
  • Product & service discounts
  • Savings & investments
  • Maternity/paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

Microsoft Trust, Safety and Intelligence team is responsible for the moderation and understanding of news feed to delight our end-user by offering them trustworthy and safe contents. We design and develop text and vision machine learning models that run daily on thousands of web contents of different types (articles, videos and slideshows) and user-generated comments to protect millions of users from harmful contents. We are looking for a highly motivated and talented applied scientist to join our science team.

As a Senior Applied Scientist on our team, you will be using the latest deep learning techniques including generative AI, large language models for natural language understanding and large vision models for image understanding.

 

This role is available in Redmond, WA

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.   

Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
    • OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 3+ years of experience developing machine learning models. 
  • 2+ years of experience as a tech lead or a similar role in developing machine learning models. 
  • 2+ years of experience with natural language processing. 

Preferred Qualifications:

  • Experience with machine learning model deployment and debugging. 
  • Experience with large language models and transformers. 
  • Experience with computer vision models, or visual content understanding. 
  • Experience with distributed big data processing. 
  • Experience in mentoring early in profession Applied Scientists. 
  • 2+ years of experience with statistical analysis and data visualization.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

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 February 3, 2025. 

 

 

#MicrosoftAI

Responsibilities

  • Conduct research and development in computer vision, generative AI, knowledge distillation and multi-modality learning to develop content moderation models.  
  • Own the problem end-to-end, from ideation to production, ensuring successful implementation.   
  • Leverage data analysis knowledge to clean, transform, analyze, integrate, and organize data to the level required for machine learning model development. 
  • Contribute to the definition of content moderation policies.  
  • Work with science and engineering team to improve existing data labeling techniques and model design.  
  • Mentor and coach less experienced scientists on the best practices in data preparation, data labeling and modeling.  
  • Perform documentation of work in progress, experimentation results, plans, etc. Documents scientific work to ensure process is captured. Creates informal documentation and may share findings to promote innovation within groups or with other groups. 
  • Embody our  and  
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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