Multimodal ML Engineer: On-Device AI & Pipelines

Apple Inc.; Seattle (WA); On-site; USD 142,000 - 263,000; Full time

Benefits offered by this job

Apple stock programs

Employee Stock Purchase Plan

Medical & dental coverage

Retirement benefits

Discounted products

Job summary

Apple Inc. seeks a Machine Learning Engineer to build pipelines and production systems that convert multimodal foundation models into shipping Apple Intelligence features.

You will own end-to-end model delivery, including data curation, training, fine-tuning, and evaluation, ensuring robust on-device and hybrid execution under real latency and privacy constraints. You will collaborate with modeling, platform, hardware, and product teams across Apple to align with future hardware design and

Qualifications

• Experience in deep learning with multimodal systems (vision/language).
• Proficiency in Python and PyTorch or JAX.
• Experience with rapid prototyping, reproduction, and validation of ideas.
• Ability to work in a collaborative environment.
• BS degree and at least 3 years of relevant industry experience.
• Master's or PhD in CS/ML or related field preferred.

Responsibilities

• Build pipelines, infrastructure, and production systems for multimodal models.
• Own end-to-end model delivery: data curation, training, fine-tuning, evaluation.
• Hardening approaches into robust, on-device/hybrid production systems under constraints.

Skills

Deep learning multimodal

Python & PyTorch/JAX

Rapid prototyping & validation

Collaborative work

Results communication

BS + 3+ years experience

Education

Bachelor's degree in relevant field

Master's/PhD or equivalent

Tools

PyTorch

JAX

Job description

Apple Inc. seeks a Machine Learning Engineer to build pipelines and production systems that convert multimodal foundation models into shipping Apple Intelligence features.

You will own end-to-end model delivery, including data curation, training, fine-tuning, and evaluation, ensuring robust on-device and hybrid execution under real latency and privacy constraints. You will collaborate with modeling, platform, hardware, and product teams across Apple to align with future hardware design and