Lead Machine Learning Data Scientist

Website Glassdoor

The Role
You’ll be part of a very fast-growing and rapidly innovating machine learning team within Glassdoor, building our next generation of products. You will help define the ML roadmap and then be the owner of modeling and delivery of machine learning products to support our recruiter and job seeker products. The work will include such things as defining user segments to personalize user experiences and email products, improving our salary estimate products, further automation of moderating user-generated content, etc. A typical week would comprise brainstorming with product on next-gen features, prototyping models and improving model features, and collaborating with engineers to deploy ML pipelines and products.
The ideal candidate will be extremely curious, have a strong scientific background in computer science and machine learning, and be obsessed with results. You exercise very sound judgment and have the ability to balance sophistication with simplicity, scientific rigor with pragmatism, and agility with quality. All of this with the tightly coupled goals of helping employers recruit and growing Glassdoor’s revenue.

Key Responsibilities:

  • Be a key member of the machine learning team creating the next generation of Glassdoor’s recruiting tools
  • Leverage the state-of-the-art machine learning and AI technology to build search ranking, recommendation and matching algorithms
  • Work closely with engineering team to deliver machine learning models into production
  • Participate in the engineering planning, help define the roadmap for machine learning and engineering;
  • Be a visionary technical leader in creating predictive machine learning algorithms to increase user engagement and search revenue
  • Exhibits passion that elevates and inspires the team.


  • 3+ years of experience in building machine learning systems, from prototyping to business impact
  • Solid software development experience in Python or Java, including translating ML models into production software
  • Deep understanding of machine learning and statistical methods with their underlying theory and math
    Experience with distributed machine learning frameworks, like Spark or Hive
  • Strong and persuasive communication skills
  • MS or PhD in a quantitative discipline like Computer Science (with focus on Machine Learning, Artificial Intelligence) or related disciplines.

To apply for this job please visit www.glassdoor.com.