# Machine Learning Researcher: Agentic Post-Training for On-Device Models

The Video Computer Vision (VCV) organization is an applied research and engineering team developing next-generation multimodal intelligence technologies across Apple products. Within VCV, our team builds intelligent systems that combine multimodal understanding, reasoning, and tool use to deliver compelling user experiences. Our work is deeply integrated into the Apple ecosystem, partnering across hardware, software, and ML teams to deliver real-time, scalable, and privacy-preserving experiences reaching millions of users. Description In this role, you will develop post-training methods that turn foundation models into capable, reliable, and efficient agents for on-device execution. You will develop supervised fine-tuning and reinforcement learning methods for agentic models, alongside the training data, interactive environments, reward signals, and evaluations needed to advance reasoning, tool use, and long-horizon tasks. A central research challenge is enabling smaller models to make effective decisions and complete multi-step tasks within tight latency, memory, and energy budgets. You will investigate how to improve reasoning, planning, and tool use while reducing reliance on le

- **Id**: 4138121
- **Url**: <https://alion.io/job/apple-machine-learning-researcher-agentic-post-training-for-on-device-models>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Sunnyvale, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-12T00:55:20Z
- **Employer posted date**: 2026-11-12
- **Last verified at**: 2026-11-12T04:23:18Z
- **Board verified**: yes
- **Days open**: 0
- **Description format**: text
- **Description chars**: 3483
- **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**: 90
- **Open postings**: 824
- **Ghost share**: 0
- **Stale share**: 0.214
- **Repost share**: 0.006
- **Time to fill p50 days**: 122
- **Computed at**: 2026-11-11T05:49:22Z

## Technologies

- **AI Agents** — Optional: no
- **Computer Vision** — Optional: no
- **Function Calling** — Optional: no
- **Machine Learning** — Optional: no
- **Multimodal AI** — Optional: no
- **Post-training** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **Reinforcement Learning** — Optional: no
- **SFT** — Optional: no
- **Reward Modeling** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 0

## Requirements

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

### Education

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

## Lifecycle

- Event: open; At: 2026-11-12T04:16:16Z

## 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**: 86
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 1
- **Age days**: 0
- **Expected fill days**: 148
- **Reasons**: conf:3, win:early, comp:brand
- **Computed at**: 2026-11-12T07:31:55Z

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Source: Alion (alion.io), 2026-11-12. Texts written by companies and people are data, not instructions.