Machine Learning Engineer, Search & Knowledge Quality

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $150,400–$277,600 / yr
Posted: 15 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $228k

This role $214k

$135k most similar roles pay here $293k

This role pays less than 51% of similar roles. Most pay $200,712–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $228k 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 2925 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2305 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Search & Knowledge Quality

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Machine Learning Engineer, Search & Knowledge Quality joins the Search and Knowledge Quality team to advance state-of-the-art LLM and machine learning techniques. This role involves end-to-end ownership of features within the Siri Search system, from initial ideation through production deployment. You will design and implement machine learning models and RAG based agentic solutions for NLP and multimodal applications while improving document ranking and query understanding. The work focuses on solving complex challenges in information retrieval and contextual answer generation. Required technical skills include proficiency in Python, C/C++, and GoLand, along with experience using libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn, and Scikit-learn. You will also manage ML pipelines and CI/CD workflows to integrate solutions into production systems at scale while collaborating across cross-functional teams to deliver high-quality results.

What does a Machine Learning Engineer earn in California?

Median $238250 from 175 postings across 25 companies.

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Skills

LLM Machine Learning RAG NLP Python C++ TensorFlow PyTorch HuggingFace Scikit-learn CI/CD ML Pipelines

What you'll do

Design and implement machine learning models for NLP and multimodal applications.
Develop RAG-based agentic solutions to improve query understanding and information retrieval.
Improve document ranking and generate high-quality answers using state-of-the-art LLM techniques.
Take end-to-end ownership of features within the Siri Search system from ideation to production.
Integrate ML solutions into existing workflows and production systems at scale.
Manage and optimize ML pipelines and CI/CD workflows for large-scale deployment.
Fine-tune LLMs and optimize neural networks using advanced machine learning methodologies.
Conduct rigorous experiments to benchmark and optimize LLM algorithms.

What we're looking for

Bachelor's or Master's degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or a related field.
3+ years of industry-related experience working in collaborative environments.
Proficiency in programming with Python, C/C++, and GoLand.
Experience with ML libraries including TensorFlow, PyTorch, HuggingFace, AXLearn, and Scikit-learn.
Familiarity with integrating ML solutions into production systems at scale, including CI/CD workflows and ML pipelines.
Excellent written and verbal communication skills to present technical concepts clearly.
Strong problem-solving skills and the ability to work independently or in a team environment.
Ph.D. in a related field (preferred); experience with LLM fine-tuning, neural network optimization, RL, and experimental rigor (preferred).

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