Lead AI Engineer
Apple
Lead AI Engineer
Job Description
Apple Maps is seeking a passionate AI engineer to help shape the future of geospatial intelligence and revolutionize how the changing world is understood, modeled and experienced. As part of our Basemap data team, you will lead the development of Agentic AI systems leveraging generative AI technologies to create next-generation mapping solutions, solving challenging, real-world problems with massive global impact. You will also provide direction, guidance and mentorship to ML engineers throughout the wider Maps organization. This role is pivotal in advancing Apple’s geospatial capabilities, enabling smarter, more responsive mapping systems that can adapt to the dynamic nature of the world! In this role, you will work on some of the most challenging problems at the intersection of deep learning, computer vision, LLM, Foundation Models, Agentic AI, and geospatial data. You will collaborate with a cross-functional team of engineers, ML scientists, and map specialists to build AI systems that understand the world at scale.
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 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 learningintermediate
- computer visionintermediate
- LLMintermediate
- Foundation Modelsintermediate
- Agentic AIintermediate
- generative AIintermediate
- geospatial dataintermediate
- AI systems developmentintermediate
- mentorshipintermediate
- cross-functional collaborationintermediate
Required Qualifications
- BS with at least 5 years of machine learning or software engineering, with recent work on LLMs or generative AI. (experience, 5 years)
- Strong software engineering fundamentals — you have shipped production systems and know how to build clean, robust, reliable and maintainable code. (experience)
- Shipped LLMs, VLMs, or other Generative AI systems at scale. Strong experience with ML and backend stack. (experience)
- Hands-on experience with processing large datasets, training ML models in distributed environments. (experience)
- Strong experience with Python, PyTorch, TensorFlow, JAX, containerization, FastAPI, REST/ GraphQL, Java and Scala. (experience)
- Strong interpersonal collaboration and communication skills, ability to work with high ambiguity and minimum supervision. (experience)
Preferred Qualifications
- MS or PhD in Computer Science, Artificial Intelligence, Machine Learning or related field with 10+ years of experience shipping ML models at scale. (experience, 10 years)
- Experience working with spatial/geospatial data. (experience)
- Contributions to open-source ML/LLM tools or libraries. (experience)
- Experience with frameworks like LangGraph, MCP, or LlamaIndex. (experience)
- Understanding of retrieval-augmented generation (RAG), RLHF, multi-agent workflows, or LLMOps. (experience)
Responsibilities
- In this role, you will work on some of the most challenging problems at the intersection of deep learning, computer vision, LLM, Foundation Models, Agentic AI, and geospatial data. You will collaborate with a cross-functional team of engineers, ML scientists, and map specialists to build AI systems that understand the world at scale.
- Architect large complex Agentic AI systems and implement end-to-end integrating ML components and training pipelines, inference services, tools, evaluations and safety.
- Fine-tune and deploy large foundational models including LLMs, LVMs and LMMs for various real-world mapping tasks.
- Contribute to and scale our AI infrastructure, making it easier to experiment and iterate quickly.
- Evolve early-stage ideas into robust, production-ready systems collaborating with a large cross function team.
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Lead AI Engineer
Apple
Lead AI Engineer
Job Description
Apple Maps is seeking a passionate AI engineer to help shape the future of geospatial intelligence and revolutionize how the changing world is understood, modeled and experienced. As part of our Basemap data team, you will lead the development of Agentic AI systems leveraging generative AI technologies to create next-generation mapping solutions, solving challenging, real-world problems with massive global impact. You will also provide direction, guidance and mentorship to ML engineers throughout the wider Maps organization. This role is pivotal in advancing Apple’s geospatial capabilities, enabling smarter, more responsive mapping systems that can adapt to the dynamic nature of the world! In this role, you will work on some of the most challenging problems at the intersection of deep learning, computer vision, LLM, Foundation Models, Agentic AI, and geospatial data. You will collaborate with a cross-functional team of engineers, ML scientists, and map specialists to build AI systems that understand the world at scale.
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 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 learningintermediate
- computer visionintermediate
- LLMintermediate
- Foundation Modelsintermediate
- Agentic AIintermediate
- generative AIintermediate
- geospatial dataintermediate
- AI systems developmentintermediate
- mentorshipintermediate
- cross-functional collaborationintermediate
Required Qualifications
- BS with at least 5 years of machine learning or software engineering, with recent work on LLMs or generative AI. (experience, 5 years)
- Strong software engineering fundamentals — you have shipped production systems and know how to build clean, robust, reliable and maintainable code. (experience)
- Shipped LLMs, VLMs, or other Generative AI systems at scale. Strong experience with ML and backend stack. (experience)
- Hands-on experience with processing large datasets, training ML models in distributed environments. (experience)
- Strong experience with Python, PyTorch, TensorFlow, JAX, containerization, FastAPI, REST/ GraphQL, Java and Scala. (experience)
- Strong interpersonal collaboration and communication skills, ability to work with high ambiguity and minimum supervision. (experience)
Preferred Qualifications
- MS or PhD in Computer Science, Artificial Intelligence, Machine Learning or related field with 10+ years of experience shipping ML models at scale. (experience, 10 years)
- Experience working with spatial/geospatial data. (experience)
- Contributions to open-source ML/LLM tools or libraries. (experience)
- Experience with frameworks like LangGraph, MCP, or LlamaIndex. (experience)
- Understanding of retrieval-augmented generation (RAG), RLHF, multi-agent workflows, or LLMOps. (experience)
Responsibilities
- In this role, you will work on some of the most challenging problems at the intersection of deep learning, computer vision, LLM, Foundation Models, Agentic AI, and geospatial data. You will collaborate with a cross-functional team of engineers, ML scientists, and map specialists to build AI systems that understand the world at scale.
- Architect large complex Agentic AI systems and implement end-to-end integrating ML components and training pipelines, inference services, tools, evaluations and safety.
- Fine-tune and deploy large foundational models including LLMs, LVMs and LMMs for various real-world mapping tasks.
- Contribute to and scale our AI infrastructure, making it easier to experiment and iterate quickly.
- Evolve early-stage ideas into robust, production-ready systems collaborating with a large cross function team.
Tags & Categories
Answer 10 quick questions to check your fit for Lead AI Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs