Applied AI Engineer
28 days ago Cupertino, CA
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Imagine building AI infrastructure at Apple - systems that power how products are made, how engineers think, and ultimately how hundreds of millions of people experience technology every day.
Here is your opportunity to join an engineering team moving Apple's algorithms programs into the AI era. We are developing AI systems that enhance the way engineers work by incorporating human judgment and integrating with data and tools. Our aim is to seamlessly incorporate AI into our processes.
We are looking for a software engineer who thrives at the intersection of data systems, AI tooling, and developer experience. You'll design and build platforms that connect AI to the deep organizational context it needs to be genuinely useful - and put those capabilities directly into the hands of the engineers shipping Apple's next-generation sensing technologies. Some of what you build will power internal workflows; some may evolve into products and tools that reach far beyond our team.
Description
You will work alongside machine learning scientists, algorithm engineers, hardware teams, designers, and human factors researchers to build the AI-native platforms and data systems that accelerate how Apple ships its next generation of devices. We're a small, high-impact group with an ambitious roadmap - you'll have outsized influence on the architecture and direction of what we build.
The algorithms behind Apple's most beloved features span software, hardware, and design - and the AI infrastructure you build will serve all of them. You'll be at the center of a uniquely cross-functional environment where world-class talent in each discipline depends on the platforms you create to move faster and make better decisions. The best ideas here have a way of starting as internal tools and growing into something bigger - you'll help shape that trajectory.
You might have built a chatbot that needed to reason over internal docs, designed an agent that orchestrated multi-step tool calls, or created a pipeline that turned unstructured data into searchable knowledge. What matters is that you've gone beyond tutorials - you've shipped AI-powered tools that real users depend on.","responsibilities":"Build novel AI-powered platforms that fundamentally change how engineers explore, analyze, and act on complex program data
Design data infrastructure that brings together diverse knowledge sources - making the right context available to AI and engineers at the right time, with appropriate access controls
Create reproducible analysis workflows with full provenance tracking, so that AI-generated insights can be trusted, iterated on, and shared across disciplines
Develop agentic pipelines that automate multi-step research and analysis while keeping engineers in the loop to steer and validate
Build infrastructure for continuous, automated intelligence - from CI-integrated analysis to background monitoring that surfaces what matters
Design collaboration systems that help cross-functional teams (SW, HW, Design, Human Factors) accumulate and leverage shared institutional knowledge
Partner with algorithm teams shipping features for iPhone, Apple Watch, iPad, and future products to understand their data challenges and deliver tooling that compounds in value over time
Preferred Qualifications
Experience building macOS or iOS client applications
Background in workflow orchestration, experiment tracking, or reproducibility tooling
Experience designing data models, storage layers, or integration APIs for complex domains
Experience integrating LLMs with external tools and APIs (tool-use patterns, MCP, function calling) or building custom integrations between LLMs and external systems
Familiarity with access-controlled or policy-aware data systems
Experience with vector databases or embedding pipelines (Pinecone, Chroma, pgvector, or similar)
Track record building developer tools, CLIs, or internal platforms that engineers rely on daily
Experience with cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) or self-hosted model serving
Contributions to open-source projects in AI/ML infrastructure
Comfort navigating large, established codebases and shipping iteratively within them
Minimum Qualifications
3+ years of software engineering experience
Proficiency in Python and at least one of: Swift, TypeScript, or another systems-level language
Experience designing and building backend services, data pipelines, or platform infrastructure
Hands-on experience building with modern AI/agent frameworks
Strong software architecture and API design sensibilities - you think in systems, not scripts
Experience building retrieval pipelines (RAG, embeddings, vector search) or knowledge retrieval systems
Strong communicator who works effectively across disciplines
Experience evaluating and iterating on AI system outputs - you've built evaluation pipelines, measured quality, and know that shipping AI means shipping feedback loops
Sharp problem-solving instincts and a bias toward shipping
BS or MS in Computer Science, Software Engineering, Data Engineering, or equivalent experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Here is your opportunity to join an engineering team moving Apple's algorithms programs into the AI era. We are developing AI systems that enhance the way engineers work by incorporating human judgment and integrating with data and tools. Our aim is to seamlessly incorporate AI into our processes.
We are looking for a software engineer who thrives at the intersection of data systems, AI tooling, and developer experience. You'll design and build platforms that connect AI to the deep organizational context it needs to be genuinely useful - and put those capabilities directly into the hands of the engineers shipping Apple's next-generation sensing technologies. Some of what you build will power internal workflows; some may evolve into products and tools that reach far beyond our team.
Description
You will work alongside machine learning scientists, algorithm engineers, hardware teams, designers, and human factors researchers to build the AI-native platforms and data systems that accelerate how Apple ships its next generation of devices. We're a small, high-impact group with an ambitious roadmap - you'll have outsized influence on the architecture and direction of what we build.
The algorithms behind Apple's most beloved features span software, hardware, and design - and the AI infrastructure you build will serve all of them. You'll be at the center of a uniquely cross-functional environment where world-class talent in each discipline depends on the platforms you create to move faster and make better decisions. The best ideas here have a way of starting as internal tools and growing into something bigger - you'll help shape that trajectory.
You might have built a chatbot that needed to reason over internal docs, designed an agent that orchestrated multi-step tool calls, or created a pipeline that turned unstructured data into searchable knowledge. What matters is that you've gone beyond tutorials - you've shipped AI-powered tools that real users depend on.","responsibilities":"Build novel AI-powered platforms that fundamentally change how engineers explore, analyze, and act on complex program data
Design data infrastructure that brings together diverse knowledge sources - making the right context available to AI and engineers at the right time, with appropriate access controls
Create reproducible analysis workflows with full provenance tracking, so that AI-generated insights can be trusted, iterated on, and shared across disciplines
Develop agentic pipelines that automate multi-step research and analysis while keeping engineers in the loop to steer and validate
Build infrastructure for continuous, automated intelligence - from CI-integrated analysis to background monitoring that surfaces what matters
Design collaboration systems that help cross-functional teams (SW, HW, Design, Human Factors) accumulate and leverage shared institutional knowledge
Partner with algorithm teams shipping features for iPhone, Apple Watch, iPad, and future products to understand their data challenges and deliver tooling that compounds in value over time
Preferred Qualifications
Experience building macOS or iOS client applications
Background in workflow orchestration, experiment tracking, or reproducibility tooling
Experience designing data models, storage layers, or integration APIs for complex domains
Experience integrating LLMs with external tools and APIs (tool-use patterns, MCP, function calling) or building custom integrations between LLMs and external systems
Familiarity with access-controlled or policy-aware data systems
Experience with vector databases or embedding pipelines (Pinecone, Chroma, pgvector, or similar)
Track record building developer tools, CLIs, or internal platforms that engineers rely on daily
Experience with cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) or self-hosted model serving
Contributions to open-source projects in AI/ML infrastructure
Comfort navigating large, established codebases and shipping iteratively within them
Minimum Qualifications
3+ years of software engineering experience
Proficiency in Python and at least one of: Swift, TypeScript, or another systems-level language
Experience designing and building backend services, data pipelines, or platform infrastructure
Hands-on experience building with modern AI/agent frameworks
Strong software architecture and API design sensibilities - you think in systems, not scripts
Experience building retrieval pipelines (RAG, embeddings, vector search) or knowledge retrieval systems
Strong communicator who works effectively across disciplines
Experience evaluating and iterating on AI system outputs - you've built evaluation pipelines, measured quality, and know that shipping AI means shipping feedback loops
Sharp problem-solving instincts and a bias toward shipping
BS or MS in Computer Science, Software Engineering, Data Engineering, or equivalent experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Additional Information
- Salary: $150,400 – $277,600
- Posted: 28 days ago