Senior Machine Learning Engineer (Lead), AI Agents
Apple
Senior Machine Learning Engineer (Lead), AI Agents
Job Description
Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Data Science - AIML Engineering team to pioneer AI agents for Apple. Together, we’ll create agentic systems for data science, data management, and operations that redefine industries while safeguarding what matters most – our customers’ privacy and trust. As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple. Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence. Guide a team of engineers to build and scale sophisticated AI agents that can reason, learn, and act across diverse data landscapes. Lead the integration of AI agents with I the Apple data and platforms ecosystem. Tackle complex AI challenges, such as ensuring agent reliability at scale, developing novel evaluation frameworks, and pioneering privacy-preserving agentic architectures. Partner closely with teams in data science, engineering, operations, and research to translate high-impact opportunities into robust, production-grade solutions.
Locations
- Cupertino, California, United States 95014
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
- AI agent developmentintermediate
- technical vision and executionintermediate
- end-to-end lifecycle managementintermediate
- team leadershipintermediate
- building and scaling AI agentsintermediate
- AI reasoning and learningintermediate
- data integrationintermediate
- platform integrationintermediate
- tackling complex AI challengesintermediate
- ensuring agent reliability at scaleintermediate
- developing evaluation frameworksintermediate
- pioneering privacy-preserving architecturesintermediate
- cross-functional collaborationintermediate
- translating opportunities into production-grade solutionsintermediate
Required Qualifications
- 8+ years of software development or machine learning experience. (experience, 8 years)
- M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience. (experience)
- 4+ years of experience in a technical leadership role. (experience, 4 years)
- Strong programming skills in Python and applied experience with a range of LLMs. (experience)
- Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.). (experience)
- Hands-on experience developing, deploying, and operating AI agents in production. (experience)
- Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability. (experience)
Preferred Qualifications
- A portfolio of deployed agentic systems that have delivered significant, measurable impact. (experience)
- Experience in evaluation frameworks for AI agents. (experience)
- Proven expertise in optimizing AI agents for latency, scalability, and cost. (experience)
- A track record of thought leadership or contributions to the field of agentic AI. (experience)
Responsibilities
- As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple.
- Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence.
- Guide a team of engineers to build and scale sophisticated AI agents that can reason, learn, and act across diverse data landscapes.
- Lead the integration of AI agents with I the Apple data and platforms ecosystem.
- Tackle complex AI challenges, such as ensuring agent reliability at scale, developing novel evaluation frameworks, and pioneering privacy-preserving agentic architectures.
- Partner closely with teams in data science, engineering, operations, and research to translate high-impact opportunities into robust, production-grade solutions.
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Answer 10 quick questions to check your fit for Senior Machine Learning Engineer (Lead), AI Agents @ Apple.
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Senior Machine Learning Engineer (Lead), AI Agents
Apple
Senior Machine Learning Engineer (Lead), AI Agents
Job Description
Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Data Science - AIML Engineering team to pioneer AI agents for Apple. Together, we’ll create agentic systems for data science, data management, and operations that redefine industries while safeguarding what matters most – our customers’ privacy and trust. As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple. Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence. Guide a team of engineers to build and scale sophisticated AI agents that can reason, learn, and act across diverse data landscapes. Lead the integration of AI agents with I the Apple data and platforms ecosystem. Tackle complex AI challenges, such as ensuring agent reliability at scale, developing novel evaluation frameworks, and pioneering privacy-preserving agentic architectures. Partner closely with teams in data science, engineering, operations, and research to translate high-impact opportunities into robust, production-grade solutions.
Locations
- Cupertino, California, United States 95014
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
- AI agent developmentintermediate
- technical vision and executionintermediate
- end-to-end lifecycle managementintermediate
- team leadershipintermediate
- building and scaling AI agentsintermediate
- AI reasoning and learningintermediate
- data integrationintermediate
- platform integrationintermediate
- tackling complex AI challengesintermediate
- ensuring agent reliability at scaleintermediate
- developing evaluation frameworksintermediate
- pioneering privacy-preserving architecturesintermediate
- cross-functional collaborationintermediate
- translating opportunities into production-grade solutionsintermediate
Required Qualifications
- 8+ years of software development or machine learning experience. (experience, 8 years)
- M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience. (experience)
- 4+ years of experience in a technical leadership role. (experience, 4 years)
- Strong programming skills in Python and applied experience with a range of LLMs. (experience)
- Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.). (experience)
- Hands-on experience developing, deploying, and operating AI agents in production. (experience)
- Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability. (experience)
Preferred Qualifications
- A portfolio of deployed agentic systems that have delivered significant, measurable impact. (experience)
- Experience in evaluation frameworks for AI agents. (experience)
- Proven expertise in optimizing AI agents for latency, scalability, and cost. (experience)
- A track record of thought leadership or contributions to the field of agentic AI. (experience)
Responsibilities
- As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple.
- Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence.
- Guide a team of engineers to build and scale sophisticated AI agents that can reason, learn, and act across diverse data landscapes.
- Lead the integration of AI agents with I the Apple data and platforms ecosystem.
- Tackle complex AI challenges, such as ensuring agent reliability at scale, developing novel evaluation frameworks, and pioneering privacy-preserving agentic architectures.
- Partner closely with teams in data science, engineering, operations, and research to translate high-impact opportunities into robust, production-grade solutions.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Machine Learning Engineer (Lead), AI Agents @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs