Godaddy Com LLC
Staff Machine Learning Scientist
United States · Staff+ · Full-time
Sponsorship not specified$182k-$273kDetected 12 days ago
Machine LearningNLPLLMsRAGAgentic AIA/B TestingMentoring
About the role
- Location Details: At GoDaddy the future of work looks different for each team.
- Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
- This position may be a hybrid or fully remote position, as decided by your manager.
Responsibilities
- Drive innovation across key strategic initiatives including personalization, pricing optimization, experimentation, agentic AI, and simulation-based modeling.
- Partner closely with Engineering, Product Management, and business stakeholders to translate ambiguous problems into impactful AI-powered solutions.
- Experience developing personalization, recommendation, ranking, or customer targeting systems.
Compensation
- The estimated pay ranges for this role are listed below.
- In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.
- $182,000 - $273,000 USD
- $157,000 - $235,000 USD
- $166,800 - $250,200 USD
- $140,000 - $210,000 USD
Benefits
- Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental and wellness leave, healthcare, retirement savings program, and much more.
- and other benefits in accordance with GoDaddy's benefit plans and applicable law.
- In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.
- Lead the development and deployment of machine learning and generative AI solutions that solve complex customer and business problems at scale.
- Measure, analyze, and optimize the business impact of machine learning solutions through experimentation and data-driven decision making.
- Advanced knowledge of machine learning theory and demonstrated success applying ML techniques to real-world business challenges.
- Hands-on experience building, deploying, and scaling production AI, machine learning, or generative AI solutions.
- Actual compensation and benefits eligibility will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Company info
- What We Offer:
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