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Principal ML Scientist

Principal ML Scientist

New
G
GoDaddyTechnology/SaaS
This is a remote position, so you’ll be working remotely from your home. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.Full-TimePrincipal
SalaryBay Area (Santa Clara, San Francisco) and Los Angeles: $215,000 — $323,000 USD; Austin, D.C. Metro, CA (non-Bay Area), HI, IL, MA, NH, OR, VA, WA: $185,500 — $278,500 USD; New York City Metro, Kirkland/Seattle: $197,200 — $295,800 USD; All other US locations not previously listed: $165,500 — $248,500 USD
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Job Details

Experience
10+ years
Required Skills
PythonArtificial IntelligenceCloud ComputingMachine LearningMLOpsGenerative AI

Requirements

  • 10+ years of experience building and deploying large-scale AI/ML systems in technology, SaaS, or consumer-focused environments.
  • Proven expertise developing customer-facing Agentic AI applications, LLM-powered solutions, and intelligent automation systems.
  • Strong experience with recommendation systems, personalization platforms, ranking models, predictive modeling, and experimentation frameworks.
  • Deep knowledge of modern AI/ML frameworks, cloud platforms, distributed systems, software engineering best practices, and MLOps.
  • Hands-on proficiency with Python and AI development ecosystems, including familiarity with Claude Code and AI-assisted software development workflows.

Responsibilities

  • Architect and scale Generative AI, Agentic AI, personalization, and recommendation systems that serve millions of customers globally.
  • Design and implement end-to-end AI/ML platforms including data pipelines, model training, evaluation, deployment, monitoring, and governance.
  • Define technical strategy, reusable architecture patterns, and platform capabilities that accelerate AI innovation across GoDaddy.
  • Lead development of Agentic AI solutions capable of autonomous reasoning, decision making, and action within customer-facing experiences.
  • Partner with Engineering, Product, Data, and Analytics teams to translate complex business challenges into scalable AI-powered solutions.
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Bay Area (Santa Clara, San Francisco) and Los Angeles: $215,000 — $323,000 USD; Austin, D.C. Metro, CA (non-Bay Area), HI, IL, MA, NH, OR, VA, WA: $185,500 — $278,500 USD; New York City Metro, Kirkland/Seattle: $197,200 — $295,800 USD; All other US locations not previously listed: $165,500 — $248,500 USD
Apply Now