Sr. Machine Learning Engineer, Vision Products Group
Apple
Software Engineering, Data Science
Sunnyvale, CA, USA
USD 181,100-318,400 / year + Equity
Posted on Apr 4, 2026
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Do you want to make creative applications more intelligent using Generative AI for our users? The creative apps and applied research team in VPG team is building groundbreaking applications to revolutionize content creation technology. As a part of this effort, you will contribute to building and developing production ready applications to accelerate content creation with Generative AI. We look forward to your contributions to help shape the future of creativity. Come Join us!
This Vision Products Group (VPG) is looking for a Senior AI engineer to help us shape and craft the next generation of interactive creative applications for our platform. This team is working with some of Apple's most advanced technologies in Generative AI. We’re looking for a hands-on AI Engineer with strong software development skills and a passion for applying Generative AI and Machine Learning to creative applications. You’ll be responsible for building, testing optimizing and shipping intelligent agents and embedded AI features across our creative applications. As a member of our organization, you will assist us in crafting future products that will delight, inspire and empower millions of people!
- As a MLE on this team , you will be responsible for :
- Spearheading innovation at the intersection of Generative AI, computer graphics and Machine Learning to craft next-generation creative tools.
- Developing and delivering smart agents and AI-driven features, taking them from initial concept through to final product integration.
- Fine-tuning and deploying highly efficient machine learning models utilizing Apple’s native frameworks like MLX and CoreML
- Writing clean, scalable code across massive repositories while partnering seamlessly with diverse, multi-disciplinary team
- Ms or equivalent experience
- 5+ years of experience in software development, shipping products with ML/AI with recent focus on GenAI and LLMs.
- Strong programming skills in ML frameworks and ML Toolkits with strong experience in using these languages for machine learning (ML) modeling and applied research
- Strong background in computer science: algorithms, data structures and system design with proficiency in at least one of these languages - Swift , C/C++ , Python
- Excellent problem solving and analytical thinking skills
- Communication and collaboration skills in a cross-functional setting. Ability to work hands-on with multi- functional teams
- Passionate about building extraordinary creative applications with Generative AI. Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- Ability to drive early-stage research projects with risks and ambiguity
- Experience in deploying ML models on Apple stack - experience using Swift MLX , PyTorch MLX , CoreML is a bonus
- Experience in neural rendering and 3D graphics
- Actively programming with high-quality codes across complex and large repositories
- Industry experience in shipping on-device ML models
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.