Hybrid Recommendation System Engineer

Posted 2 months ago

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About the role

  • Machine Learning Engineer specializing in recommendation systems at Meshy. Designing algorithms and analyzing user behavior data to improve personalization and engagement.

Responsibilities

  • Design, implement, and optimize recommendation and ranking algorithms.
  • Analyze user behavior data to improve personalization and engagement.
  • Evaluate and experiment with new ML methods to enhance recommendation quality.

Requirements

  • 3+ years of professional experience in machine learning or recommendation systems.
  • Strong coding skills in one or more languages: Python, Java, or Scala.
  • Solid understanding of machine learning fundamentals, especially in ranking, collaborative filtering, and personalization.
  • Hands-on experience with data processing frameworks (e.g., Spark, Flink) and ML libraries.
  • Strong problem-solving and communication skills.

Benefits

  • Competitive salary, benefits and stock options.
  • 401(k) plan for employees.
  • Comprehensive health, dental, and vision insurance.
  • The latest and best office equipment.

Job title

Recommendation System Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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