AIML - ML Prototyping Engineer, Machine Learning Research
Apple· Machine Learning and AI
Cupertino, California$150.4k - $277.6kfull-timePosted 2mo ago
About the role
Role in ML Research Prototyping team bridging cutting-edge AI/ML research and real-world Apple products. Build end-to-end prototypes, train/fine-tune models, and create interactive experiences to communicate ML ideas across Apple and to the broader ML community.
Responsibilities
- Train, fine-tune, and adapt foundation models for novel applications
- Experiment with emerging ML techniques and architectures
- Build end-to-end prototypes that demonstrate ML capabilities in context
- Create interactive experiences that communicate ideas across Apple and to the broader ML community
- Collaborate with researchers to translate emerging techniques into working systems
- Iterate rapidly based on critique, treating prototypes as questions rather than answers
Qualifications
- Experience training or fine-tuning ML models (PyTorch, JAX, or MLX)
- Strong understanding of ML fundamentals: model architectures, training dynamics, evaluation
- Familiarity with current ML research landscape
- Experience reading and implementing techniques from ML papers
- Proficiency in Python and Swift; experience with C++ or Rust a plus
- Track record of building complete, working systems rather than isolated components
- Experience with LLMs: prompting, fine-tuning, RLHF, inference optimization
- Experience reproducing results from ML papers
- Familiarity with Apple platforms and frameworks (CoreML, Metal, SwiftUI)
- Experience building native apps for iOS or macOS
- Background in an R&D, research, or prototyping environment
- Ability to work on ambiguous problems where the goal is learning, not shipping
- Bias toward building—you'd rather make something to test an idea than debate it
- Initiative to pursue ideas without waiting for direction
- Eye for detail and craft in how you present work
- Comfort communicating ML research to diverse technical audiences
- Experience presenting at or attending ML conferences (NeurIPS, ICML, etc.)
- Interest in AI education or open-source community building
- Work you can share: models you have trained, systems you have built, ideas you have explored
Skills
Required:Train models and fine-tune foundation modelsML fundamentalsProgramming languagesLLM techniquesSystem building
Nice to have:Apple platforms familiarity
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Tuition reimbursement for certain educational expenses
- Discretionary bonuses or commission payments (potential)
- Relocation assistance (potential)
- Employee stock programs opportunities
Last updated Oct 9, 2026. Interested? Apply on the company site.
About Apple
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Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
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