Senior Machine Learning Research Engineer, AIML

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $175,000–$308,500 / yr
Posted: 58 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $226k

This role $242k

$159k most similar roles pay here $325k

This role pays more than 57% of similar roles. Most pay $197,631–$254,750 — the shaded band above. At the midpoint, this role pays about $242k versus about $226k for comparable roles.

Based on 240 similar postings.

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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 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, improving scalability, and creating new techniques to overcome system constraints while 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, scalable training for advanced products.

Skills

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

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 training and inference speeds while improving scalability for deep learning models.
Create new techniques to overcome system constraints in high-performance ML infrastructure.
Implement PyTorch-focused optimizations to drive system-level efficiency for large models.
Develop and maintain state-of-the-art machine learning frameworks and tools.
Build and optimize model architectures for on-device inference.
Contribute to the open-source community by releasing technical contributions.

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

Seattle, WA 180 days ago $142,300–$263,300

Python PyTorch Deep Learning Computer Vision Object Detection Facial Recognition Data Pipelines Model Training On-device Inference HW/SW Co-design Machine Learning Error Analysis

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