Senior Machine Learning Research Engineer, AIML

Apple Inc

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $184,700–$324,800 / yr
Posted: 148 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 $226k

This role $255k

$168k most similar roles pay here $342k

This role pays more than 78% of similar roles. Most pay $197,631–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $226k 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 · Senior Machine Learning Research Engineer, AIML

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As a Senior Machine Learning Research Engineer, AIML, you will join the multidisciplinary AIML team within the software organization to develop core components for a scalable machine learning platform. You will design software systems and algorithms that enable performant, scalable training and inference for AI-driven experiences across both on-device and server environments. Your daily work involves pushing the limits of existing training technologies, creating new techniques to overcome system constraints, and building tools for large-scale deep learning. The role requires expertise in Python, PyTorch internals, and high-performance ML infrastructure. You will apply knowledge of software-hardware co-design principles, LLM architectures, and parallelization algorithms like DeepSpeed or FairScale. This position focuses on the technical challenges of multimodal foundation models and efficient training for products involving Apple Intelligence.

Skills

PyTorch Python LLM DeepSpeed FairScale torch.distributed Generative AI On-device Inference ML Infrastructure software–hardware co-design Parallelization Algorithms Foundation Models Machine Learning Computational Science

What you'll do

Design software systems and algorithms for performant, scalable training and inference across on-device and server environments.
Develop core components for a centralized, large-scale machine learning platform.
Optimize the PyTorch stack to drive system-level efficiency for both small and large models.
Create new techniques to overcome hardware and software constraints in deep learning systems.
Implement parallelization algorithms for training large-scale foundation models.
Build and optimize ML models specifically for on-device inference.
Develop tools to accelerate training and inference speeds for Apple Intelligence products.
Contribute to the open-source community by releasing high-impact machine learning research and code.

What we're looking for

PhD or Master's degree in Computer Science, or equivalent industry experience.
3+ years of experience in the AI/ML field.
Strong Python programming skills.
Solid understanding of software-hardware co-design principles and algorithms.
Solid understanding of the PyTorch software stack and experience maintaining state-of-the-art ML frameworks.
Strong understanding of LLM architectures and their core building blocks.
Experience with parallel training libraries such as PyTorch Distributed, DeepSpeed, or FairScale.
Experience building ML models for on-device inference.

Machine Learning Engineer

Apple Inc

Cupertino, CA 148 days ago $184,700–$324,800

C++ Python GPU Programming Machine Learning Swift Numerical Computing Distributed Training Software Engineering Low-level Programming MLX Apple Silicon

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