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: 127 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 $224k

This role $214k

$135k most similar roles pay here $293k

This role pays less than 55% of similar roles. Most pay $192,987–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $224k 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 · 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 integrating these solutions into existing workflows at scale. The work focuses on improving query understanding, intent recognition, document ranking, and generating high-quality answers. Required technical skills include proficiency in Python, C/C++, and GoLand, alongside experience with libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn, and Scikit-learn. Candidates should also possess familiarity with CI/CD workflows and ML pipelines to solve complex problems related to information retrieval and contextual answer generation.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 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.
Own the end-to-end lifecycle 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 apply neural network optimization and reinforcement learning techniques.
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.
A Ph.D. in a related field is preferred.
3+ years of industry-related experience working in collaborative environments.
Proficiency in programming languages including Python, C/C++, and GoLand.
Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn, and Scikit-learn.
Experience integrating ML solutions into production systems at scale using CI/CD workflows and ML pipelines.
Expertise in state-of-the-art ML methodologies including LLM fine-tuning, neural network optimization, and RL.
Strong communication skills to present technical concepts clearly and the ability to solve complex problems independently.

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