Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $171,600–$302,200 / yr
Posted: 22 days ago

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Competitive pay

How this pay compares to similar roles

Similar $221k

This role $237k

$156k most similar roles pay here $318k

This role pays more than 64% of similar roles. Most pay $191,437–$249,750 — the shaded band above. At the midpoint, this role pays about $237k versus about $221k for comparable roles.

Based on 239 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

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As a Senior Machine Learning Engineer on Apple's AI, Search & Knowledge Platforms team, you will contribute to the development of advanced AI systems that power Siri, Safari, iMessage, and other intelligent experiences. Your day-to-day responsibilities include conducting research and developing large language models (LLMs) for tasks such as summarization, question answering, and search relevance/ranking. You will work closely with researchers and data scientists to fine-tune and evaluate domain-specific LLMs, translating product requirements into modeling and engineering tasks. The role requires expertise in Python and deep learning frameworks like TensorFlow or PyTorch, along with a strong background in machine learning fundamentals and hands-on experience with large-scale model training and deployment. This position offers the opportunity to work on cutting-edge generative AI technologies at scale, addressing complex business problems within Apple’s expansive ecosystem.

Skills

Python TensorFlow PyTorch JAX NLP LLM RAG Prompt_Engineering Supervised_Fine-Tuning Preference-Based_Fine-Tuning Parameter_Efficient_Fine-Tuning Hallucination_Reduction Safety_Guardrails Deep_Learning Large_Scale_Model_Training

What you'll do

Conduct research and development on state-of-the-art deep learning and large language models for Apple’s AI-powered products.
Develop, fine-tune, and evaluate domain-specific Large Language Models for NLP tasks like summarization and question answering.
Translate product requirements into modeling and engineering tasks for AI applications.
Transfer cutting-edge generative AI research to production-ready technologies.
Stay updated with the latest advancements in deep learning and large language models.

What we're looking for

2+ years of experience in deep learning or LLM model development for NLP tasks.
Hands-on experience with Python and at least one deep learning framework (TensorFlow, PyTorch, JAX).
Master’s degree in Computer Science, AI, Machine Learning, or related field.
Experience in fine-tuning large language models using various techniques like SFT, preference-based tuning, and parameter-efficient methods.
Ability to translate product requirements into modeling tasks and engineering solutions.
Stay current with advancements in deep learning and LLMs.

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