Senior ML Engineer - ML Experimentation Portal
29 days ago Cupertino, CA
About us
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- Size: 10,000+ employees
- Industry: Technology: Manufacturing
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At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both customers and advertisers - helping people discover content, supporting creators, and protecting and respecting everyone's privacy. Our technology makes advertising possible on the App Store, Apple Maps, Apple News, Stocks, and Apple TV. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone.
The Ads ML Experimentation team is looking for a ML Engineer who can build full-stack applications to help shape the future of how Apple's advertising systems experiment to connect millions of global users to content from publishers and developers. You'll build intuitive interfaces that transform complex statistical concepts and ML workflows into seamless user experiences, making advanced experimentation and AI accessible to teams across Apple Ads. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create simple, intuitive user experiences; they have a keen eye for the details that surprise and delight our customers.
Description
In this role, you will design and build the next generation ML and experimentation platform for the Apple Ads ecosystem. You'll be responsible for transforming complex ML workflows into intuitive web applications. You will introduce AI-powered insights through seamless user interfaces, develop workflows from model training to A/B testing and evaluation, all while delivering on Apple's privacy commitments in large-scale distributed cloud computing environments.
You'll join a team where we obsess over user experience and believe the best interfaces make complex technology feel simple. You'll conduct user research, iterate on designs based on real feedback, and measure success through user adoption and satisfaction. We value technical excellence in service of user needs, not complexity for its own sake. You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity.
Some Technologies You'll Use:
* Infrastructure: Docker, AWS, Splunk, DataDog, etc
* Frontend: Modern JavaScript/TypeScript, React, data visualization libraries (D3.js, Chart.js)
* Backend: Java 21, Spring Boot, Python, PostgreSQL
Preferred Qualifications
Degree in Computer Science, Statistics, Applied Math or related field.
10+ years of industry experience designing, building, maintaining, and extending web-scale production systems.
Minimum Qualifications
Fluency in full-stack development using technologies such as React, TypeScript, and modern JavaScript
Industry experience in ML domain, with experience building features and models
Experience in Ads domain
Knowledge of ML platforms/infrastructure, ML fundamentals, and Experimentation fundamentals.
Strong understanding of data structures and algorithms for optimization
Experience designing, implementing, and iterating on intuitive user interfaces
Experience with both online and offline A/B Testing infrastructure and/or methodologies.
Proficiency with database design and database languages (SQL) to build applications.
Experience with alerting and observability tools (DataDog, Splunk) to monitor production systems
Skilled at operating in a cross-functional organization.
Ability to condense complex concepts and projects into clear, actionable takeaways
Excellent communication and presentation skills with a curious business attitude
Desire to work in a fast-paced, challenging environment with cross-functional ownership
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
The Ads ML Experimentation team is looking for a ML Engineer who can build full-stack applications to help shape the future of how Apple's advertising systems experiment to connect millions of global users to content from publishers and developers. You'll build intuitive interfaces that transform complex statistical concepts and ML workflows into seamless user experiences, making advanced experimentation and AI accessible to teams across Apple Ads. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create simple, intuitive user experiences; they have a keen eye for the details that surprise and delight our customers.
Description
In this role, you will design and build the next generation ML and experimentation platform for the Apple Ads ecosystem. You'll be responsible for transforming complex ML workflows into intuitive web applications. You will introduce AI-powered insights through seamless user interfaces, develop workflows from model training to A/B testing and evaluation, all while delivering on Apple's privacy commitments in large-scale distributed cloud computing environments.
You'll join a team where we obsess over user experience and believe the best interfaces make complex technology feel simple. You'll conduct user research, iterate on designs based on real feedback, and measure success through user adoption and satisfaction. We value technical excellence in service of user needs, not complexity for its own sake. You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity.
Some Technologies You'll Use:
* Infrastructure: Docker, AWS, Splunk, DataDog, etc
* Frontend: Modern JavaScript/TypeScript, React, data visualization libraries (D3.js, Chart.js)
* Backend: Java 21, Spring Boot, Python, PostgreSQL
Preferred Qualifications
Degree in Computer Science, Statistics, Applied Math or related field.
10+ years of industry experience designing, building, maintaining, and extending web-scale production systems.
Minimum Qualifications
Fluency in full-stack development using technologies such as React, TypeScript, and modern JavaScript
Industry experience in ML domain, with experience building features and models
Experience in Ads domain
Knowledge of ML platforms/infrastructure, ML fundamentals, and Experimentation fundamentals.
Strong understanding of data structures and algorithms for optimization
Experience designing, implementing, and iterating on intuitive user interfaces
Experience with both online and offline A/B Testing infrastructure and/or methodologies.
Proficiency with database design and database languages (SQL) to build applications.
Experience with alerting and observability tools (DataDog, Splunk) to monitor production systems
Skilled at operating in a cross-functional organization.
Ability to condense complex concepts and projects into clear, actionable takeaways
Excellent communication and presentation skills with a curious business attitude
Desire to work in a fast-paced, challenging environment with cross-functional ownership
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Additional Information
- Salary: $184,700 – $277,600
- Posted: 29 days ago