Senior Machine Learning Scientist

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GoDaddy

📍Remote - India

Summary

Join GoDaddy's Domain Search team as a Senior Machine Learning Scientist and contribute to building world-class software solutions. You will design, build, and maintain foundational systems for GoDaddy's search/ML/GenAI platform, focusing on performance, scalability, and reliability. This remote position requires 4+ years of experience in deep learning and software development, along with expertise in machine learning, statistics, NLP, and large datasets. You will work with cutting-edge technologies to optimize machine learning models and improve customer search experiences. GoDaddy offers a competitive benefits package including paid time off, retirement savings options, bonuses, equity grants, health benefits, and parental leave.

Requirements

  • 4+ years of industrial experience with a strong background in both deep learning and software development
  • Experience with machine learning, statistics, and NLP
  • Experience with Deep Learning and large data sets
  • Experience with a machine learning platform such as pytorch
  • Experience with a programming language of your choice: Python, Java, etc
  • Familiarity with large-scale data analytics in Spark

Responsibilities

  • Design, build, and maintain the foundational systems and services that power GoDaddy’s search/ML/GenAI platform
  • Work with the latest deep learning and search technologies to develop and optimize advanced machine learning models to improve our customer’s experience
  • Be self-driven, understand the data we have, and provide data driven insights to all of our challenges
  • Mine datasets to develop features and models to improve search relevance and ranking algorithms
  • Design and analyze experiments to test new product ideas
  • Understand patterns and insights about what our users search for and purchase to help personalize our recommendations

Preferred Qualifications

Ph.D. in related field

Benefits

  • Paid time off
  • Retirement savings (e.g., 401k, pension schemes)
  • Bonus/incentive eligibility
  • Equity grants
  • Participation in our employee stock purchase plan
  • Competitive health benefits
  • Parental leave

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