Senior Machine Learning Scientist
GoDaddy
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