Machine Learning Engineer - Special Projects

Apple Inc

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $147,400–$272,100 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 52% of similar roles. Most pay $192,250–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $221k 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 · Machine Learning Engineer - Special Projects

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Join our team of world-class machine learning researchers and engineers as a Machine Learning Engineer, where you will design and implement high-quality data pipelines, simulation systems, and tooling to enable cutting-edge agent research. You will work closely with top-tier scientists on innovations in AI agents, reinforcement learning, and simulation environments that power technologies across the Apple ecosystem. Your daily responsibilities include building robust feature pipelines, training infrastructure, model serving frameworks, and evaluation tools while maintaining a focus on delivering clean, well-tested code in Python. Ideal candidates have 5+ years of ML engineering experience with distributed systems, strong quantitative skills, and a proven track record of shipping end-to-end ML systems from problem framing to production monitoring. Familiarity with macOS/iOS development ecosystems and job orchestration frameworks is preferred.

Skills

Python CI/CD SQL Airflow Prefect Ray Kubernetes Terraform Docker Prometheus Grafana PostgreSQL AWS Azure Google Cloud Platform Git Jenkins Travis CI Maven Gradle Ansible Chef MongoDB Redis Cassandra Hadoop Spark TensorFlow PyTorch Scikit-learn Pandas NumPy Matplotlib Seaborn Flask Django FastAPI React Vue.js Angular Node.js Express.js

What you'll do

Design and implement high-quality data pipelines for machine learning projects.
Build and maintain simulation environments to support reinforcement learning research.
Develop tooling that enables cutting-edge agent research and innovation.
Implement training infrastructure for large-scale machine learning models.
Evaluate and monitor ML systems in production, ensuring optimal performance.

What we're looking for

5+ years of ML engineering experience building and maintaining data-intensive systems.
Solid software engineering skills: Python fluency, clean code, and thorough testing.
Hands-on experience with distributed ML systems including CI/CD at scale.
Strong quantitative skills: SQL proficiency, statistical reasoning, and data analysis.
Proven ability to ship end-to-end ML systems from problem framing to monitoring.

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