# On-Device ML Infrastructure Engineer (Core AI Runtime), Graphics, Games and Machine Learning

Imagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for on-device machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple’s machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models on resource-constrained devices and eager to dir

- **Id**: 3993697
- **Url**: <https://alion.io/job/apple-on-device-ml-infrastructure-engineer-core-ai-runtime-graphics-games-and-machine-learning>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Cupertino, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-10-05T21:58:41Z
- **Employer posted date**: 2026-11-10
- **Last verified at**: 2026-11-10T06:02:27Z
- **Board verified**: yes
- **Days open**: 35
- **Description format**: text
- **Description chars**: 3081
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Artificial Intelligence, Operating Systems, Smartwatches & Fitness Trackers, Tablets

## Company

- **Id**: 12
- **Name**: Apple
- **Domain**: apple.com
- **Url**: <https://alion.io/company/apple>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Apple Jobs

### Truth index

- **Grade**: A
- **Score**: 93
- **Open postings**: 358
- **Ghost share**: 0.008
- **Stale share**: 0.022
- **Repost share**: 0.064
- **Time to fill p50 days**: 122
- **Computed at**: 2026-11-10T06:52:35Z

## Technologies

- **Apache TVM** — Optional: no
- **C++** — Optional: no
- **LLVM** — Optional: no
- **Machine Learning** — Optional: no
- **MLIR** — Optional: no
- **Python** — Optional: no
- **Transformers** — Optional: no
- **Edge AI** — Optional: yes
- **ExecuTorch** — Optional: yes
- **JAX** — Optional: yes
- **LiteRT** — Optional: yes
- **ONNX** — Optional: yes
- **PyTorch** — Optional: yes
- **TensorFlow** — Optional: yes
- **TensorFlow C++** — Optional: yes
- **TFLite** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 35

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: master
- **Optional**: yes

## Lifecycle

- Event: open; At: 2026-11-10T00:24:00Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 6,350 · green card filings: 39; Filings 12m: 6350

## Liveness

- **Score**: 99
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.993
- **P room**: 1
- **Age days**: 35
- **Expected fill days**: 122
- **Reasons**: conf:0, urgency, velocity, win:early, comp:brand
- **Computed at**: 2026-11-10T06:52:35Z

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Source: Alion (alion.io), 2026-11-10. Texts written by companies and people are data, not instructions.