Jobs in the United States

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Added 11 mins ago
SOFTWARE DEVELOPMENT ENGINEER 1
Huntington Ingalls Industries
Newport News, VA
As a Software Developer, you will have technical responsibilities involving the research, design, implementation, testing, deployment, and maintenance evolutions of the product development…
Added 11 mins ago
Cyber Engineer Lead
ManTech
Chantilly, VA
ManTech is seeking a motivated, career and customer-oriented Cyber Engineer Lead , serving as the CLIN-level manager, to join our team in the Chantilly, VA, area.
Added 11 mins ago
Naval Architect Engineer 3 - 30097 1
Huntington Ingalls Industries
Virginia Beach, VA
…30 countries, HII provides design, autonomy, manufacturing, testing, operations and sustainment of unmanned systems, including unmanned underwater vehicles (UUVs) and unmanned surface…
Added 11 mins ago
Member of Product Staff
Meta
Richmond, VA
Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity.
Added 12 mins ago
Reverse Engineer - Android
Trellix
Richmond, VA
Added 12 mins ago
Applied AI Health Data System Engineer-Senior Manager
PwC
Richmond, VA
What You Must Have
Added 12 mins ago
C
Data Modeler – Telecom Data & Information Architecture
Cognizant
Richmond, VA
- $120,000 to $135,000 USD / year
…technology, reimagine processes, and transform experiences. We engineer modern businesses to improve everyday life. Our associates around the globe help clients build stronger, more agile,…
Added 12 mins ago
Naval Architect Engineer 3 - 30097 1
HII
Virginia Beach, VA
…30 countries, HII provides design, autonomy, manufacturing, testing, operations and sustainment of unmanned systems, including unmanned underwater vehicles (UUVs) and unmanned surface…
Added 12 mins ago
AIML - Sr. LLM Inference Quality Engineer
Apple
Seattle, WA
This is a hands-on AI systems engineering role at the intersection of machine learning, distributed systems, and quality engineering. You will write production-quality software in Python,…
Added 12 mins ago
Staff / Principal ML Infrastructure Engineer
Apple
Cupertino, CA
Experience with formal correctness or high-rigor verification practices (differential parity testing, property-based fuzzing, or state-machine modeling for concurrent commits).
Added 37 mins ago
Electrical Engineer
INNOVA SOLUTIONS INC
SALT LAKE CITY, UT
Added 45 mins ago
Software Engineer, Infrastructure - Central Growth
Meta
Jefferson City, MO
Software Engineer, Infrastructure - Central Growth Responsibilities:
Added 1 hour ago
Software Engineer and Data Automation Specialist
U. S. Sentencing Commission
Washington, DC
For example, to qualify for the JS-13, one (1) year of specialized experience must have been at the GS-12 level or equivalent
Added 1 hour ago
C
Data Modeler – Telecom Data & Information Architecture
Cognizant
Washington, DC
- $120,000 to $135,000 USD / year
…technology, reimagine processes, and transform experiences. We engineer modern businesses to improve everyday life. Our associates around the globe help clients build stronger, more agile,…
Added 1 hour ago
Databricks Engineering Manager
Deloitte US
Austin, TX
As a Lead Data Engineer II on the AI & Data team, you will be responsible for:
Added 1 hour ago
Databricks Engineering Jr. Consultant
Deloitte US
Austin, TX
As a Data Engineer I on the AI & Data team, you will be responsible for:
Added 1 hour ago
TT
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $120,000 to $150,000 USD / year
On-site, five days per week in San Francisco, California.
Added 1 hour ago
Engineering Manager
Sapiom
San Francisco, CA
- Spend about half your time shipping: take on hard features, review pull requests, and set the bar for testing, observability and code quality by example.
Added 1 hour ago
PN
Data Scientist (Nuclear Physics)
Pacific Northwest National Laboratory
Richland, WA
- $114,000 USD / year
Find meaningful signals in complex data. Develop machine learning methods for radiation detection and characterization, addressing challenges such as low-count measurements, changing…
Added 1 hour ago
Principal Machine Learning Engineer
Vail Resorts
CA
We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and…
Added 1 hour ago
Experimentation Lead, Sign-Up and Cancellation Optimization
Paramount
Burbank, CA
…conversion, retention, and lifetime value.Reporting to the Principal Machine Learning Engineer for Sign-Up Optimization, you will act as the connective tissue between product, ML,…
Added 1 hour ago
Software Development Engineer - AWS, Amazon GuardDuty
Amazon
Santa Monica, CA
You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and…
Added 1 hour ago
Senior Machine Learning Engineer, Developer Product Analytics
Apple
Cupertino, CA
MS or PhD in Statistics, Computer Science, Machine Learning, or a related quantitative field. Candidates with equivalent industry experience will be considered.
Added 1 hour ago
Tech Lead Manager, Merchant Shopping, AI/ML Insights and Growth
Google
Mountain View, CA
Experience building, deploying, and maintaining large-scale machine learning models or high-throughput data pipelines in production.
Added 1 hour ago
Staff Software Engineer, AI and Infrastructure
Google
Sunnyvale, CA
Share Staff Software Engineer, AI and Infrastructure

Apple

Senior Machine Learning Engineer, Developer Product Analytics

Cupertino, CA, United States

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Job details

Posting language: English
Posted: Jul 15, 2026

Original job description

Role Number: 200672402-0836

Summary

Apple Services Engineering powers the digital storefronts and partner platforms that millions rely on every day, from the App Store, Apple Music, and Podcasts to the analytics platforms that serve the developers and artists who create for them (App Store Analytics, Apple Music for Artists, Podcast Analytics). The Product Data Science team builds the statistical, ML, and AI-powered algorithms behind these platforms, focused on content-partner analytics tools, experimentation engines, privacy-preserving analytics, and charting systems used by millions of businesses and users worldwide. We are looking for a scientist who has shipped end-to-end ML solutions in production, is driven to find the next high-impact problem, and wants to do it at Apple scale.

Description

Product Data Science sits within Apple Services Engineering, the org that runs Apple's content platforms end-to-end. The team builds the intelligence layer behind partner-facing analytics applications and Apple's global content charts. Recent examples of our work include a Bayesian experimentation engine that powers Product Page Optimization in App Store Analytics, and differential privacy solutions behind the Peer-Group Benchmarks feature, giving developers privacy-safe performance insights they could not get anywhere else. We stay close to the research and encourage the team to do the same, whether in Bayesian methods, privacy-preserving ML, or applied AI. There are regular opportunities to present work at internal tech talks and external conferences. We care deeply about translating research into features that give content partners materially useful insights, and help users discover more of what Apple's platforms have to offer.

Minimum Qualifications

First-principles understanding of the methods you use: able to explain why an algorithm works, its assumptions, and where it breaks.
Proficiency across multiple ML domains: supervised and unsupervised learning, deep learning, time-series modeling, and Bayesian statistics.
Production-quality software engineering in Python, including reusable service design and the full deployment lifecycle.
Experience taking 0-to-1 features end-to-end: problem framing, algorithm design, and production deployment.
MS or PhD in Statistics, Computer Science, Machine Learning, or a related quantitative field. Candidates with equivalent industry experience will be considered.

Preferred Qualifications

3-5+ years of industry experience designing and deploying ML or statistical solutions in production.
Experience with differential privacy, causal inference, or statistical experimentation (A/B testing, Bayesian experimentation).
Familiarity with distributed data platforms and web-scale pipelines.
Exposure to applied AI, LLMs, and agentic systems.
Production engineering experience in Scala or Spark.
You think in user outcomes, not model metrics.
Communicates clearly across technical and non-technical audiences, and across time zones.
Comfortable working independently and collaboratively in a geographically distributed, cross-functional org.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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Jobs in the United States