below marketmost similar roles pay hereabove market
This role pays more than
87%
of similar roles. Most pay
$202,800–$254,750
— the blue band above.
At the midpoint, this role pays about
$255k
versus about
$229k
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
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
The Sr. Machine Learning Engineer - Answers, Knowledge & Information (AKI) joins the Geo domain team to enhance how users navigate and explore the physical world through Siri and Spotlight. You will own the full machine learning development cycle, from initial opportunity analysis and prototyping to data collection, feature engineering, training, and production deployment. Your core responsibilities include leading the development of models to improve search quality across retrieval, ranking, reranking, and query understanding. You will utilize advanced techniques including learning-to-rank, embedding models, contrastive learning, multi-task learning, and reinforcement learning. The role requires expertise in natural language processing, information retrieval, and deep learning to solve complex problems regarding local business discovery, document ranking, and providing relevant answers to user queries across various Apple products.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
Own the entire ML development cycle from opportunity analysis and prototyping to production deployment.
Lead the development of machine learning models to improve search retrieval, ranking, and query understanding.
Apply techniques such as learning-to-rank, embedding models, and reinforcement learning to improve search quality.
Translate product requirements into specific modeling tasks and engineering requirements.
Mentor junior engineers and provide technical leadership in architecting ML systems.
Lead experimentation, offline evaluation, and online A/B testing for iterative search improvements.
Perform data collection and feature engineering for large-scale machine learning models.
What we're looking for
You have 5+ years of experience in information retrieval, natural language processing, machine learning, or deep learning.
You have a Master’s Degree in Computer Science or equivalent experience in machine learning or a related field.
You have a deep understanding of machine learning theory, including supervised learning, ranking models, embeddings, representation learning, and evaluation metrics.
You have a proven ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale.
You are comfortable leading experimentation, offline evaluation, and online A/B testing for iterative improvements in search quality.
You have excellent interpersonal skills and the ability to work independently as well as as part of a team.
You have an advanced diploma in AI, Machine Learning, Computer Science, or Mathematics (preferred).
Machine Learning
NLP
LLM
Python
Go
C++
PyTorch
JAX
TensorFlow
XGBoost
Deep Learning
Information Retrieval
Recommendation Systems
Data Pipelines
Search Relevance
Production ML Systems
PyTorch
TensorFlow
JAX
Python
Go
Java
C++
Natural Language Processing
Deep Learning
Computer Vision
Machine Learning
Adversarial Training
Content Moderation
Search Ranking
Retrieval Pipelines
Machine Learning
Deep Learning
LLM
NLP
RAG
PyTorch
TensorFlow
JAX
Python
C++
Scala
Go
Information Retrieval
Reinforcement Learning
Embeddings
Distributed Systems
Online Inference
Question Answering
Large Language Models
Natural Language Processing
Deep Learning
Machine Learning
Python
Go
Java
C++
Spark
Hadoop MapReduce
Hive
Impala
Information Retrieval
Prompt Engineering
Data Mining
Word Embeddings
Distributed Data Processing