Senior Machine Learning Scientist

Summary

Join GoDaddy's DnAI team as a Senior Machine Learning Scientist and build cutting-edge machine learning models for Pricing + Bundling and Generative AI projects. Collaborate with ML engineers to develop ML pipelines, work with platform teams to ensure solution quality, and contribute to standardized processes for model evaluation and deployment. This remote position requires 4+ years of overall experience and 2+ years in machine learning engineering. You will develop and implement advanced machine learning algorithms, analyze complex datasets, and stay updated on the latest ML advancements. The role involves contributing to broader product and platform initiatives and exploring cutting-edge ML technologies. GoDaddy offers various benefits, including paid time off, retirement savings, bonuses, equity grants, health benefits, and parental leave.

Requirements

• 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles
• Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc
• Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc
• Experience in writing unit tests and documentation for ML code

Responsibilities

• Develop and implement advanced machine learning algorithms for Pricing and Generative AI projects using PyTorch
• Design and refine ML models to enhance their performance, scalability, and robustness
• Analyze and interpret complex data sets to inform model development and ensure accuracy and effectiveness
• Stay abreast of the latest developments in machine learning and artificial intelligence, integrating new methodologies and techniques as appropriate
• Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments and collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives
• Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry

Preferred Qualifications

• Master’s degree or PhD in computer science, engineering, statistics, or related fields
• Familiarity with prompt engineering and large language models (LLM) is a plus
• Proficiency in multiple programming languages
• Understanding of containerization technologies like Docker and orchestration tools like Airflow

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
• Other family-friendly benefits including parental leave