Applied AI Scientist

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $150,400–$277,600 / yr
Posted: 95 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k

This role $214k

$135k $293k

below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $177,250–$254,750 — the blue band above. At the midpoint, this role pays about $214k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Applied AI Scientist

Role Posting Log in to save

The Applied AI Scientist - Multimodal Intelligence joins the Multimodal Intelligence Team to bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. This role involves evaluating and adapting emerging research, conducting applied research experiments, and collaborating with engineering teams to transform promising approaches into robust solutions that account for future hardware design and product needs. The successful candidate will work with large-scale data pipelines, data curation, and preprocessing while utilizing Python and modern deep learning frameworks like PyTorch or JAX. Key responsibilities include fine-tuning large models for production deployment and developing solutions for vision-language, video-language, and multimodal alignment. The work focuses on leveraging sensing hardware and foundation models to build autonomous agents and privacy-preserving on-device machine learning experiences.

Skills

Generative AI Multimodal Foundation Models Deep Learning Python PyTorch JAX Computer Vision Data Pipelines On-device Machine Learning Data Curation Vision-Language Models Video-Language Models

What you'll do

Evaluate and adapt emerging research in generative AI and multimodal foundation models.
Conduct applied research experiments to bridge the gap between research advances and practical applications.
Transform promising research approaches into robust solutions for production deployment.
Manage large-scale data pipelines including data collection, curation, and preprocessing.
Fine-tune and optimize large models for production and future hardware design needs.
Develop autonomous or semi-autonomous agents using multi-step reasoning and task decomposition.
Implement privacy-preserving or on-device machine learning techniques.
Craft research directions for multimodal foundation models to inspire future products.

What we're looking for

Experience in deep learning with demonstrated work in at least one area of multimodal systems.
Proficiency in Python and a modern deep learning framework such as PyTorch or JAX.
Experience with rapid prototyping, reproduction, and validation of research ideas.
Master's degree or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or a related technical field.
PhD or equivalent practical experience in Computer Science, Machine Learning, or a related technical field (preferred).
Publication record in relevant conferences or a strong track record of applying deep learning to real-world products (preferred).
Experience with foundation models, large-scale data pipelines, and fine-tuning or optimizing large models for production (preferred).
Experience with autonomous agents, privacy-preserving ML, and ability to work in collaborative environments (preferred).