AIML - Machine Learning Researcher, MLR

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $147,400–$272,100 / yr
Posted: 69 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 52% of similar roles. Most pay $175,750–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $213k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · AIML - Machine Learning Researcher, MLR

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Join our dynamic team as a junior to mid-level Machine Learning Researcher and contribute to groundbreaking long-term research projects that will shape the future of Apple’s products. You will engage in self-directed foundational ML research, proposing innovative ideas and demonstrating their feasibility through rigorous experimentation and implementation. Collaborate with top-tier engineers and researchers on complex challenges, ensuring your work is reproducible and published in high-quality scientific venues. Your responsibilities include advancing the frontier of machine learning by exploring topics like reinforcement learning, large language models, multimodal generative models, and more. Proficiency in Python, PyTorch, and experience with tools such as Torch Titan or Lingua are highly valued, along with a strong background in linear algebra and statistics. This role offers an unparalleled opportunity to work on cutting-edge projects that address significant business challenges at scale.

Skills

Python PyTorch Reinforcement_Learning LLMs Diffusion_Models Audio_Generative_Models Multimodal_Generative_Models NeurIPS ICML ICLR AAAI CVPR ICCV ECCV ACL EMNLP Linear_Algebra Statistics

What you'll do

Propose and demonstrate feasibility of original research ideas in machine learning.
Conduct self-directed and collaborative research on advanced ML topics like reinforcement learning and multimodal generative models.
Publish high-quality research findings in top-tier scientific conferences and journals.
Mentor colleagues and provide technical guidance on complex ML projects.
Develop and implement innovative solutions for Apple’s future products.

What we're looking for

Demonstrated expertise in machine learning research areas including reinforcement learning and large language model training.
Publication history in top-tier conferences like NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP.
Strong background in linear algebra and statistics for advanced mathematical problem-solving.
Experience with cutting-edge machine learning frameworks such as Torch Titan or Lingua.
Hands-on experience with sharded models, FSDP, DDP, and fine-tuning pipelines for common models like Llama and Mixtral.

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