Multimodal ML Engineer — On-Device Production

Socket.dev; Seattle (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

Apple in Seattle is seeking a Machine Learning Engineer to build pipelines, infrastructure, and production systems that turn multimodal foundation models into shipping Apple Intelligence features. You will own end-to-end model delivery—from data curation and training through fine-tuning, evaluation, and on-device deployment—while balancing latency, memory, power, and privacy constraints.

Collaborate closely with modeling, platform, hardware, and product teams across Apple to translate research

Qualifications

• BS in Computer Science or related field with at least 3 years of industry experience.
• Experience in deep learning and multimodal systems (vision, language, audio).
• Ability to communicate results clearly and work collaboratively.

Responsibilities

• Build pipelines, infrastructure, and production systems for multimodal models.
• Own end-to-end model delivery—from data curation to on-device deployment.
• Collaborate with modeling, platform, hardware, and product teams across Apple.

Skills

Python proficiency

Deep learning expertise

Collaborative work style

Multimodal systems experience

Education

BS in Computer Science or related field

MS/PhD preferred

Tools

PyTorch

JAX

Job description

Apple in Seattle is seeking a Machine Learning Engineer to build pipelines, infrastructure, and production systems that turn multimodal foundation models into shipping Apple Intelligence features. You will own end-to-end model delivery—from data curation and training through fine-tuning, evaluation, and on-device deployment—while balancing latency, memory, power, and privacy constraints.

Collaborate closely with modeling, platform, hardware, and product teams across Apple to translate research