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Full Time Apple Machine Learning Engineer Jobs (NOW HIRING)

Apple

Sr. Machine Learning Engineer - Apple News

Cupertino, CA · On-site

$128K - $177K/yr

Apple News is seeking an experienced Machine Learning Engineer to build, operate, and scale the systems that power intelligent features for millions of people every day. In this role, you will bring ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA

$150K - $277K/yr

Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

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Full Time Apple Machine Learning Engineer information

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How much do full time apple machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full time apple machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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Full Time Apple Machine Learning Engineer jobs near you

Sr. Machine Learning Engineer - Apple News

Apple

Cupertino, CA • On-site

$128K - $177K/yr

Full-time

Re-posted 23 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple News is seeking an experienced Machine Learning Engineer to build, operate, and scale the systems that power intelligent features for millions of people every day. In this role, you will bring deep expertise in model serving, deployment pipelines, distributed systems, and ML platform infrastructure; enabling the team to ship reliable, high-performance ML-powered features across content tagging, ranking, and personalization. You are someone who thrives at the intersection of software engineering and machine learning, and takes pride in building the infrastructure that makes great models matter at scale. At Apple News, our ML problems are uniquely hard, spanning privacy-preserving personalization, on-device considerations, and the balance between editorial and algorithmic curation; and we need engineers who are excited to solve them.
Description
As a Machine Learning Engineer on the Apple News team, you will build and operate the infrastructure that powers ML-driven product features spanning content tagging, ranking, clustering, and personalization. You will own the systems that host, serve, and monitor both classical and deep learning models in production ensuring reliability, low latency, and scalability at Apple scale. You will evaluate trade-offs across tools and technologies, make sound architectural decisions, and drive ML infrastructure from concept to production. You will collaborate closely with modeling, product, data science, and platform teams to define requirements and deliver features that have measurable impact on user engagement and content quality.
Minimum Qualifications
MS in Computer Science, Machine Learning, or a related discipline, or equivalent work experience in this domain
5+ years of industry experience in machine learning infrastructure or software engineering with a strong ML systems focus.
Strong proficiency in Java and Python for production serving systems
Hands-on experience building and shipping production ML infrastructure: model serving, deployment pipelines, and feature delivery systems using AI/ML workflows
Experience deploying ML models on cloud platforms (AWS and/or GCP) with a strong understanding of deployment trade-offs across latency, cost, and scalability
Experience with RAG architectures: including retrieval, embedding, chunking, and reranking strategies, and deploying agentic AI systems in production
Experience building data pipelines for A/B test analysis and training dataset creation using tools such as Apache Spark
Strong cross-functional communication skills with the ability to translate complex technical concepts for non-technical partners
Preferred Qualifications
Familiarity with inference optimization techniques such as quantization, batching, caching, and model distillation to improve serving efficiency
Familiarity with embedding pipeline infrastructure: building, storing, refreshing, and serving embeddings at scale; experience with vector store design and trade-offs including indexing strategies, approximate nearest neighbor search, and latency vs. recall considerations
Familiarity with content personalization or recommendation systems at consumer scale
Track record of delivering AI-powered features with measurable impact on user engagement or content quality

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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