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Senior ML Engineer - Experimentation
Cupertino, California, United States
Software and Services
Summary
Posted: Sep 09, 2025
Weekly Hours: 40
Role Number: 200619873-0836
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.
Ads ML Experimentation team is looking for a Senior Software Engineer to build the next generation of software platform and systems to advance experimentation that connect millions of global users to content from publishers and developers. Your work will drive the experimentation framework development of machine learned algorithm at scale. You will build sophisticated systems essential in the end-end development of predictive algorithms. You will design and engineer tools for managing AB test experiments, for performing exploratory analysis, and for real-time monitoring of experiment behavior, while preserving privacy of our customers.
Description
Partner with business leaders and stakeholders to design, implement and evolve the features of a multivariate experimentation platform. Promote experimentation best practices across the organization. Execute on the experimentation roadmap and future integrations with data-driven prioritization. Exercise strong judgment and make thoughtful decisions with ambiguous situations. Striking the right balance between short-term wins vs. long-term success based on various constraints.
You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers and Apple.
Minimum Qualifications
Skilled at designing and building complex large-scale and distributed software systems in cloud computing environments like AWS
Strong experience in Experimentation frameworks, A/B testing and Machine Learning methodologies
Fluency in programming languages like Java, Scala, Python and SQL
Experience with event stream processing (ESP) technologies like Spark Streaming, Kafka, Flink or equivalent
Experience with backend object stores, automated data pipelines, cloud-native data storage and processing frameworks
Familiarity with data-oriented workflow orchestration frameworks like Airflow, Kubeflow, etc.
Familiarity with statistics and ability to use data analysis techniques to understand data quality, profile system loads, relationships between business metrics, and technical performance
Excellent communication, social and presentation skills
Skilled at operating in a cross-functional organization
Ability to condense complex concepts and analysis into clear and concise takeaways that drive action
Prior experience in advertising industry is a plus
Prior experience with advanced statistical and causal inference is a plus
Curious business attitude with a proven ability to seek projects with a sense of ownership
Preferred Qualifications
Degree in Computer Science, Statistics, Applied Math or related field.
5+ years of industry experience designing, building, maintaining, and extending web-scale production systems.
Exposure to AB testing and machine learning methodologies.
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 $181,100 and $318,400, 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. (https://www.apple.com/careers/us/benefits.html)
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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