Machine Learning Researcher, Foundation Models

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $262,500–$394,000 / yr
Posted: 8 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $233k

This role $328k

$160k most similar roles pay here $419k

This role pays more than 96% of similar roles. Most pay $203,850–$262,000 — the shaded band above. At the midpoint, this role pays about $328k versus about $233k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Machine Learning Researcher, Foundation Models

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AIML - Machine Learning Researcher, Foundation Models will join a team of engineers and scientists focused on building foundation models with capabilities like text, image, speech, and video generation. You will develop algorithms, techniques, and systems to push the frontier of deep learning while solving complex problems in natural language processing, multi-modal understanding, and combining learning with knowledge. The role involves creating infrastructure and datasets to power products for millions of users. Candidates must possess a PhD or equivalent experience and demonstrate expertise in deep learning through publications or product applications. Required skills include proficiency in Python and deep learning toolkits like JAX, PyTorch, or TensorFlow. Preferred qualifications include experience in web-scale information retrieval, human-like conversation agents, multi-modal perception for hardware platforms, and on-device intelligence with strong privacy protections.

Skills

Deep Learning Python PyTorch JAX TensorFlow Natural Language Processing Multi-modal Understanding Information Retrieval Foundation Models Machine Learning

What you'll do

Develop algorithms and techniques to advance the frontier of deep learning research.
Build infrastructure, datasets, and foundation models with multi-modal capabilities like text, image, and speech.
Solve complex problems in natural language processing and multi-modal understanding.
Integrate knowledge systems with machine learning models to improve model performance.
Identify and develop novel applications for deep learning within Apple products.
Implement on-device intelligence while maintaining strong privacy protections.
Develop human-like conversation agents and web-scale information retrieval systems.

What we're looking for

PhD or equivalent practical experience in Computer Science or a related technical field.
Demonstrated expertise in deep learning with a publication record in relevant conferences or a track record of applying techniques to products.
Proficiency in Python programming.
Proficiency in at least one deep learning toolkit such as JAX, PyTorch, or TensorFlow.
Ability to work effectively in a collaborative environment.
Experience with web-scale information retrieval is preferred.
Experience developing human-like conversation agents is preferred.
Experience with multi-modal perception and on-device intelligence with privacy protections is preferred.