# On-device ML Infrastructure Engineer (Orchestration & Performance)

Imagine being at the forefront of an evolution where cutting-edge 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 the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding cutting-edge 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 across all devices, from resource-constrained

- **Id**: 2132178
- **Url**: <https://alion.io/job/apple-on-device-ml-infrastructure-engineer-orchestration-performance>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: middle
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Cupertino, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 3
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-02T18:18:21Z
- **Employer posted date**: 2026-11-13
- **Last verified at**: 2026-11-13T23:55:37Z
- **Board verified**: yes
- **Days open**: 72
- **Description format**: text
- **Description chars**: 2843
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Operating Systems, Laptops, 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**: 94
- **Open postings**: 1125
- **Ghost share**: 0.001
- **Stale share**: 0.036
- **Repost share**: 0.02
- **Time to fill p50 days**: 148
- **Computed at**: 2026-11-12T10:38:37Z

## Salary estimate

- **Min usd**: 225000
- **Max usd**: 500000
- **Period**: year
- **Method**: role_country_seniority_unknown
- **Sample n**: 4425

## Technologies

- **C++** — Optional: no
- **Machine Learning** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **MLIR** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 72

## Requirements

- **Experience years min**: 3
- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-10-09T01:09:42Z
- Event: close; At: 2026-11-13T10:47:28Z
- Event: reopen; At: 2026-11-13T17:29:33Z

## 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**: 68
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.951
- **P room**: 0.72
- **Age days**: 70
- **Expected fill days**: 148
- **Reasons**: conf:0, urgency, velocity, win:mid, crowd:brand
- **Computed at**: 2026-11-12T10:38:37Z

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Source: Alion (alion.io), 2026-11-14. Texts written by companies and people are data, not instructions.