Applied AI/ML Software Engineer
AI summary of the role
Join Apple's HRES AI/ML team to build and ship AI/ML and Generative AI services that support hardware product development across iPhone, iPad, Mac, and more.
What you’ll do
- Develop, ship, and maintain AI/ML and Generative AI services, including infrastructure, evaluation pipelines, and integration workflows.
- Work with cross-functional partners on challenging projects incorporating Machine Learning and Generative AI.
- Build software that provides data insights and drives decision-making within Hardware Engineering and beyond.
- Iterate quickly and work side-by-side with customers to ensure effective solutions.
What you’ll bring
- Bachelor's Degree in Computer Science, Computer Engineering, related field, or equivalent work experience.
- 3+ years professional software engineering experience in Python or other object-oriented programming language(s).
- Demonstrated ability to write applications in a high-level programming language like Python, Ruby, Java, etc.
- Excellent written and verbal communication skills to both technical and non-technical audiences.
Technologies
Python · Ruby · Java · LLMs · RAG · agentic pipelines · Kubernetes · cloud-based deployment · data analysis · data visualization
About Apple
Designs and sells iPhone, Mac, iPad, Watch, and Vision Pro plus a $100B+ Services layer (App Store, iCloud, Apple Pay, Music, TV+) atop a 2.5B device installed base.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at Apple’s incredible scale? Do you want to see your work translated into direct impact on iPhone, iPad, Mac, AirPods, Watch, and more? Come join us in in developing, shipping, and maintaining AI/ML and Generative AI services — including the infrastructure, evaluation pipelines, and integration workflows that provide cutting-edge features to support Apple’s hardware product development teams, helping bring amazing, groundbreaking products and innovations to life. We are the Human Research and Engineering Solutions (HRES) AI/ML team, and we build and deliver software supporting the development of Apple’s unparalleled hardware product line. Our software is used by Apple engineers, factory teams, and third-party accessory manufacturers to develop and debug their systems, with
More from the job description
Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at Apple’s incredible scale? Do you want to see your work translated into direct impact on iPhone, iPad, Mac, AirPods, Watch, and more? Come join us in in developing, shipping, and maintaining AI/ML and Generative AI services — including the infrastructure, evaluation pipelines, and integration workflows that provide cutting-edge features to support Apple’s hardware product development teams, helping bring amazing, groundbreaking products and innovations to life. We are the Human Research and Engineering Solutions (HRES) AI/ML team, and we build and deliver software supporting the development of Apple’s unparalleled hardware product line. Our software is used by Apple engineers, factory teams, and third-party accessory manufacturers to develop and debug their systems, with high visibility throughout the company. Description As a Software Engineer in our team, you will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning and Generative AI. The software you build will be instrumental in solving difficult challenges, providing data insights, and driving decision-making within Hardware Engineering and beyond. We move at a fast pace, iterate quickly, and work side-by-side with our customers to en [... source excerpt omitted ...] tions in a high-level programming language like Python, Ruby, Java, etc. Excellent written and verbal communication skills to both technical and non-technical audiences Preferred Qualifications Master’s degree in Computer Science, Computer Engineering, related field, or equivalent work experience Experience building with LLMs, designing and training custom ML models, and developing RAG/agentic pipelines Experience with data analysis, processing, analytics, and visualization to drive data-based decision making Experience with evaluating complex AI systems, producing actionable hypotheses, and assessing their validity Exposure or interest in leveraging Kubernetes and other cloud-based [... source excerpt omitted ...] the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, 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 a
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