Machine Learning Engineer - Special Projects

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $139,500–$258,100 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k

This role $199k

$125k most similar roles pay here $279k

This role pays less than 64% of similar roles. Most pay $192,250–$249,750 — the shaded band above. At the midpoint, this role pays about $199k 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.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Engineer - Special Projects

Apply Now Log in to save

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, hands-on knowledge of job orchestration frameworks like Airflow or Prefect, and strong quantitative skills including SQL and statistical reasoning. Familiarity with macOS/iOS development ecosystems is also beneficial.

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 training infrastructure for complex ML models and systems.
Develop simulation environments to support reinforcement learning research.
Create tooling that enables cutting-edge agent research in AI technologies.
Evaluate and deploy machine learning models in production with monitoring.

What we're looking for

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

Save