Machine Learning Engineer - Multimodal Intelligence
About the role
Machine Learning Engineer to build pipelines, infrastructure, and production systems that turn multimodal foundation models into shipping Apple Intelligence features. End-to-end model delivery with data curation/training pipelines, fine-tuning, evaluation, and robust on-device/hybrid deployment under strict performance and privacy constraints, collaborating with modeling, platform, hardware, and product teams.
Responsibilities
- Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g., vision, language, video, audio, etc.)
- Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX
- Experience with rapid prototyping, reproduction, and validation of research ideas
- Ability to work in a collaborative environment
- Ability to communicate the results of analyses in a clear and effective manner
- BS and a minimum of 3 years of relevant industry experience
- Master's or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field
- Deep expertise in multimodal foundation models, with a focus on practical applications
- Track record of translating research into practical applications either through published work or industry experience
- Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems
- Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems
- Experience bridging research ideas with production constraints
Qualifications
- BS and a minimum of 3 years of relevant industry experience
- Master's or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field
- Deep expertise in multimodal foundation models, with a focus on practical applications
- Track record of translating research into practical applications either through published work or industry experience
- Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems
- Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems
- Experience bridging research ideas with production constraints
Skills
Benefits
- Comprehensive medical and dental coverage
- retirement benefits
- discounted products and free services
- education reimbursement (tuition)
- potential discretionary bonuses or commission payments
- relocation assistance
- Apple shareholder opportunities through stock programs
About Apple
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.
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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