Machine Learning Engineer - Multimodal Intelligence

Apple’s Multimodal Intelligence team is hiring a Machine Learning Engineer to operationalize multimodal foundation models into production-grade Apple Intelligence features.

Responsibilities

• Build pipelines, infrastructure, and production systems that enable multimodal foundation models to ship as Apple Intelligence features.
• Own end-to-end model delivery, including:
  • Data curation and scaling training pipelines.
  • Fine-tuning and optimization of large multimodal models for on-device and hybrid execution.
  • Reproducible evaluation and regression testing for text and visual understanding.
  • Hardening candidate approaches into robust, maintainable production systems under real latency, memory, power, and privacy constraints.
• Partner with modeling, platform, hardware, and product engineering teams across Apple and incorporate future hardware design and product needs into implementation decisions.
• Collaborate across teams to deliver high-quality product outcomes.

Requirements

• Master’s or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or a related technical field.
• Deep expertise in multimodal foundation models with a focus on practical applications.
• Proven ability to translate research into practical applications via published work or industry experience.
• Applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), especially for multimodal systems.
• Experience building large-scale training pipelines, working with large datasets, and scaling models across distributed systems.
• Experience bridging research ideas with production constraints.
• Deep learning experience with documented work in at least one multimodal area such as vision, language, video, or audio.
• Proficiency in Python and a modern deep learning framework: PyTorch or JAX.
• Experience with rapid prototyping, reproduction, and validation of research ideas.
• Ability to work in a collaborative environment.
• Ability to communicate analysis results clearly and effectively.
• BS and a minimum of 3 years of relevant industry experience.

Technologies

• Python
• PyTorch
• JAX

Compensation

• Base pay range: $142,300 - $263,300 per year.
• Base pay depends on skills, qualifications, experience, and location.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary restricted stock unit awards.
• Employee Stock Purchase Plan: ability for eligible employees to purchase Apple stock at a discount if voluntarily participating.
• Discretionary employee stock programs that offer an opportunity to become an Apple shareholder.
• Discretionary bonuses or commission payments, and relocation (eligibility may apply).

Location: Seattle, WA (onsite)

Salary: USD 142,300 - 263,300 per year