Machine Learning Researcher

Apple

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profile Job Location:

Seattle - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

This role leads multifunctional teams developing groundbreaking approaches to AI assessment including automated evaluation systems. Youll work with ML researchers engineers and domain experts to pioneer new methods for scalable high-quality AI are looking for an outstanding hands-on manager who will thrive in a fast-paced environment. We believe the most exciting problems in machine learning research arise at the intersection with real-world use cases and this is also where the most critical breakthroughs come from. KEY RESPONSIBILITIES:Lead R&D in automated AI evaluation including development of LLM-based assessment systems that can reliably evaluate model outputsDrive research and implementation of novel approaches to measure and improve AI system quality safety and alignmentBuild and scale evaluation infrastructure that combines human expertise with ML-powered automationWork with cross-functional partners to integrate evaluation systems into production workflows


  • Masters degree with 4 years of industry experience or PhD with 3 years or equivalent work experience
  • 3 years experience developing ML evaluation systems
  • 2 years leading technical teams in ML/AI
  • Strong technical leadership and communication skills


  • - Expertise in full-stack LLM development and deployment
  • Deep experience with LLM evaluation and automated assessments
  • Track record scaling ML systems in production
  • Strong product intuition and ability to identify high-impact opportunities
  • Excellence in building and leading high-performing technical teams
This role leads multifunctional teams developing groundbreaking approaches to AI assessment including automated evaluation systems. Youll work with ML researchers engineers and domain experts to pioneer new methods for scalable high-quality AI are looking for an outstanding hands-on manager who wil...
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Key Skills

  • Intelligence Community Experience
  • Python
  • Spss
  • Microsoft Word
  • R
  • Regression Analysis
  • Windows
  • Stata
  • Microsoft Powerpoint
  • Research Experience
  • Data Modeling
  • Writing Skills

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