Senior Machine Learning Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 88 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $217k

$165k most similar roles pay here $276k

This listing doesn't post a salary. Most similar roles pay $184,050–$249,753.

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 · Senior Machine Learning Engineer

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As a Senior Machine Learning Engineer at Apple's Online Retail Decision Automation team, you will play a pivotal role in advancing the company’s online experience by developing cutting-edge algorithms for product search and recommendation systems. Your day-to-day responsibilities include enhancing ML infrastructure, mentoring junior engineers, and collaborating with cross-functional teams to implement machine learning models and testing workflows. You must possess strong software development skills, proficiency in Python, Java, or C++, and hands-on experience with big data technologies like Spark and Hadoop. This role demands expertise in building scalable applications and data processing pipelines while ensuring high-quality output and attention to detail, all within the context of a fast-paced environment that impacts millions of customers daily.

Skills

Python Java C++ Spark SQL Snowflake Hadoop CI/CD MLOps Docker Kubernetes AWS Google Cloud Platform Azure TensorFlow PyTorch Scikit-learn Pandas Numpy Jupyter Notebook

What you'll do

Develop and optimize machine learning models for product search and recommendation systems.
Improve ML infrastructure and tooling for efficient algorithm deployment.
Mentor junior engineers on best practices for machine learning development.
Build scalable data processing pipelines using big data technologies like Spark and Hadoop.
Collaborate with cross-functional teams to implement testing workflows for ML algorithms.

What we're looking for

5+ years of experience building high-throughput scalable applications and machine learning models.
Proficiency in Python, Java, C++ and experience with distributed systems.
Experience building data processing pipelines and large-scale ML systems using big data technologies like Spark, SQL, Snowflake/Hadoop.
Strong background in Computer Science, Statistics, or Mathematics (or equivalent).
Excellent communication skills and ability to collaborate across multi-functional teams.

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