ML Engineer — Agentic AI for Creative Apps

Apple Inc.; Cupertino (CA); Hybride; USD 150 000 - 278 000; Plein temps

Avantages offerts par ce poste

Medical and dental coverage

Retirement benefits

Discounted products and services

Educational expense reimbursement

Bonuses or commissions may apply

Relocation

Résumé du poste

Apple Inc. in Cupertino, CA is seeking ML engineers to design, build, and evaluate agentic AI capabilities within professional creative apps. You will work beside designers, QA, app teams, and engineers to turn frontier model capabilities into reliable product features.

The role emphasizes evaluating open-ended tasks, prompt design, and tools for on-device inference. Strong Python, PyTorch, and Swift skills are valued, along with a product-driven mindset.

Qualifications

• 3+ years developing and shipping reliable, maintainable, testable code.
• Hands-on experience applying LLMs / foundation models or multimodal ML to real products or projects, e.g. prompting, fine-tuning, retrieval, evaluation, or agentic systems.
• Strong intuition for experimental design and a repertoire of statistical techniques to measure genuine effects from noise.
• A strong product sense: the judgment to ask not only 'can the model do this?' but 'is this the right experience?'
• Ability to work effectively in a fast-paced environment and to communicate clearly with technical and non-technical partners.
• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Responsabilités

• Design, build, and evaluate agentic AI capabilities that let people accomplish real work in professional creative apps.
• Turn frontier model capability into reliable product behavior through agentic architecture, tool and skill design, and structured output.
• Build rigorous evaluations and quality measures for open-ended, hard-to-score creative tasks, and use them to drive model and system improvements.
• Work with on-device and server foundation models, including optimizing for the constraints of on-device inference.
• Investigate model and agent failures end to end — from the user-visible symptom to the underlying cause.
• Partner with product engineers, designers, the teams behind our creative apps, and creative-domain experts to translate real workflows into capabilities.

Connaissances

LLMs / foundation models

Multimodal ML

Prompting / retrieval / evaluation

Experiment design

On-device optimization

Formation

Bachelor's degree in Computer Science or related field

Outils

Swift

Python

PyTorch

JAX / TensorFlow

Description du poste

Apple Inc. in Cupertino, CA is seeking ML engineers to design, build, and evaluate agentic AI capabilities within professional creative apps. You will work beside designers, QA, app teams, and engineers to turn frontier model capabilities into reliable product features.

The role emphasizes evaluating open-ended tasks, prompt design, and tools for on-device inference. Strong Python, PyTorch, and Swift skills are valued, along with a product-driven mindset.