ML Engineer - Maps Navigation

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$318,400 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k

This role $250k

$142k most similar roles pay here $337k

This role pays more than 81% of similar roles. Most pay $162,000–$240,562 — the shaded band above. At the midpoint, this role pays about $250k versus about $201k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · ML Engineer - Maps Navigation

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As a Machine Learning Engineer on the traffic team at Apple Maps, you will develop and optimize machine learning models to enhance real-time traffic predictions and navigation accuracy. Your daily tasks include designing algorithms for traffic prediction, collaborating with cross-functional teams to set product direction, and working closely with data engineers to process large volumes of location data while ensuring privacy. You will also create ML pipelines for model training and deployment in both real-time and batch environments, continuously improving performance through experimentation and analysis. This role requires strong programming skills in Python, experience with frameworks like PyTorch or TensorFlow, and proficiency in deploying models at scale using tools such as Spark and Hadoop. The team focuses on delivering accurate travel times and incident data to users worldwide, addressing complex challenges in the transportation domain.

Skills

Python PyTorch Tensorflow Spark Hadoop SQL NoSQL CI/CD Geospatial_data_analysis Time_series_prediction Scala Java C++

What you'll do

Design and maintain machine learning models for traffic prediction to support navigation.
Develop new technical capabilities for building blocks of innovative features.
Process extensive location data streams with privacy preservation techniques.
Improve ML pipelines for real-time and batch model training, evaluation, and deployment.
Continuously monitor and enhance model performance through experimentation.
Lead research on new approaches for existing or emerging areas in navigation.

What we're looking for

MS in Computer Science, Machine Learning, or related fields plus 5 years of experience.
Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
Experience serving and deploying ML models at scale using tools such as Spark and Hadoop.
Excellent problem-solving and analytical skills, valuing a scientific approach through experimentation.
Proficiency in working with geospatial data analysis and modeling.

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