Machine Learning Researcher
Apple
Machine Learning Researcher
Job Description
Help us transform how machine learning and artificial intelligence systems are evaluated for quality and safety. You will lead teams building next-generation evaluation systems that combine human and machine intelligence to assess AI models at scale. We are looking for a research manager with deep expertise in applied AI/ML who will drive innovation in automated evaluation, particularly for language models and generative AI systems. This role leads multifunctional teams developing groundbreaking approaches to AI assessment, including automated evaluation systems. You'll work with ML researchers, engineers, and domain experts to pioneer new methods for scalable, high-quality AI evaluation. We 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 outputs Drive research and implementation of novel approaches to measure and improve AI system quality, safety, and alignment Build and scale evaluation infrastructure that combines human expertise with ML-powered automation Work with cross-functional partners to integrate evaluation systems into production workflows
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- deep expertise in applied AI/MLintermediate
- lead teamsintermediate
- drive innovationintermediate
- developing groundbreaking approachesintermediate
- work with ML researchers, engineers, and domain expertsintermediate
- hands-on managerintermediate
- thrive in a fast-paced environmentintermediate
- Lead R&D in automated AI evaluationintermediate
- development of LLM-based assessment systemsintermediate
- Drive research and implementation of novel approachesintermediate
- measure and improve AI system quality, safety, and alignmentintermediate
- Build and scale evaluation infrastructureintermediate
- combine human expertise with ML-powered automationintermediate
- Work with cross-functional partnersintermediate
- integrate evaluation systems into production workflowsintermediate
Required Qualifications
- Master’s degree with 4+ years of industry experience, or PhD with 3+ years, or equivalent work experience (experience, 4 years)
- 3+ years experience developing ML evaluation systems (experience, 3 years)
- 2+ years leading technical teams in ML/AI (experience, 2 years)
- Strong technical leadership and communication skills (experience)
Preferred Qualifications
- - Expertise in full-stack LLM development and deployment (experience)
- Deep experience with LLM evaluation and automated assessments (experience)
- Track record scaling ML systems in production (experience)
- Strong product intuition and ability to identify high-impact opportunities (experience)
- Excellence in building and leading high-performing technical teams (experience)
Responsibilities
- This role leads multifunctional teams developing groundbreaking approaches to AI assessment, including automated evaluation systems. You'll work with ML researchers, engineers, and domain experts to pioneer new methods for scalable, high-quality AI evaluation.
- We 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 outputs
- Drive research and implementation of novel approaches to measure and improve AI system quality, safety, and alignment
- Build and scale evaluation infrastructure that combines human expertise with ML-powered automation
- Work with cross-functional partners to integrate evaluation systems into production workflows
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Machine Learning Researcher
Apple
Machine Learning Researcher
Job Description
Help us transform how machine learning and artificial intelligence systems are evaluated for quality and safety. You will lead teams building next-generation evaluation systems that combine human and machine intelligence to assess AI models at scale. We are looking for a research manager with deep expertise in applied AI/ML who will drive innovation in automated evaluation, particularly for language models and generative AI systems. This role leads multifunctional teams developing groundbreaking approaches to AI assessment, including automated evaluation systems. You'll work with ML researchers, engineers, and domain experts to pioneer new methods for scalable, high-quality AI evaluation. We 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 outputs Drive research and implementation of novel approaches to measure and improve AI system quality, safety, and alignment Build and scale evaluation infrastructure that combines human expertise with ML-powered automation Work with cross-functional partners to integrate evaluation systems into production workflows
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- deep expertise in applied AI/MLintermediate
- lead teamsintermediate
- drive innovationintermediate
- developing groundbreaking approachesintermediate
- work with ML researchers, engineers, and domain expertsintermediate
- hands-on managerintermediate
- thrive in a fast-paced environmentintermediate
- Lead R&D in automated AI evaluationintermediate
- development of LLM-based assessment systemsintermediate
- Drive research and implementation of novel approachesintermediate
- measure and improve AI system quality, safety, and alignmentintermediate
- Build and scale evaluation infrastructureintermediate
- combine human expertise with ML-powered automationintermediate
- Work with cross-functional partnersintermediate
- integrate evaluation systems into production workflowsintermediate
Required Qualifications
- Master’s degree with 4+ years of industry experience, or PhD with 3+ years, or equivalent work experience (experience, 4 years)
- 3+ years experience developing ML evaluation systems (experience, 3 years)
- 2+ years leading technical teams in ML/AI (experience, 2 years)
- Strong technical leadership and communication skills (experience)
Preferred Qualifications
- - Expertise in full-stack LLM development and deployment (experience)
- Deep experience with LLM evaluation and automated assessments (experience)
- Track record scaling ML systems in production (experience)
- Strong product intuition and ability to identify high-impact opportunities (experience)
- Excellence in building and leading high-performing technical teams (experience)
Responsibilities
- This role leads multifunctional teams developing groundbreaking approaches to AI assessment, including automated evaluation systems. You'll work with ML researchers, engineers, and domain experts to pioneer new methods for scalable, high-quality AI evaluation.
- We 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 outputs
- Drive research and implementation of novel approaches to measure and improve AI system quality, safety, and alignment
- Build and scale evaluation infrastructure that combines human expertise with ML-powered automation
- Work with cross-functional partners to integrate evaluation systems into production workflows
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Researcher @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs