AIML Machine Learning Researcher

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: New York, NY
Salary: $184,700–$324,800 / yr
Posted: 79 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $234k

This role $255k

$168k most similar roles pay here $342k

This role pays more than 68% of similar roles. Most pay $202,800–$265,887 — the shaded band above. At the midpoint, this role pays about $255k versus about $234k 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 · AIML Machine Learning Researcher

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The AIML - ML Researcher, AFM joins a team focused on building frontier foundation models and developing mid-training approaches that bridge general capabilities with task-specific performance. This role involves tackling complex problems in reward modeling to resist reward hacking, managing sparse and delayed rewards in agentic settings, and aligning models for creative tasks and precise workflows. The researcher will work on end-to-end voice interactions, natural language processing, and combining learning with knowledge while optimizing models specifically for Apple silicon. Candidates must possess expertise in deep learning, a publication record in relevant conferences, or experience applying techniques to products. Required skills include proficiency in Python and toolkits like JAX, PyTorch, or TensorFlow. Preferred qualifications include experience with large language models, speech recognition, generation, reinforcement learning, on-policy distillation, and post-training of large language models.

Skills

Python PyTorch JAX TensorFlow Large Language Models Deep Learning Reinforcement Learning Natural Language Processing Speech Recognition Reward Modeling On-policy Distillation Foundation Models

What you'll do

Develop and pre-train frontier foundation models for integrated OS experiences.
Implement mid-training approaches to bridge general capabilities with task-specific performance.
Solve reward modeling problems to prevent reward hacking in agentic settings.
Align models across creative tasks and precise, action-taking workflows.
Optimize machine learning models specifically for Apple silicon hardware.
Develop end-to-end voice interactions and natural language processing systems.
Integrate deep learning techniques with external knowledge sources.
Perform post-training and mid-training optimizations for large language models.

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 and at least one major deep learning toolkit such as JAX, PyTorch, or TensorFlow.
Ability to work effectively in a collaborative environment.
Experience coding large language models.
Experience building end-to-end voice models, including speech recognition and generation.
Experience in reinforcement learning and on-policy distillation.
Experience in post-training and mid-training of large language models.

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