Senior Machine Learning Engineer / Scientist (Experimentation)
At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.
Ads ML Experimentation team is seeking a Senior Machine Learning Engineer / Scientist who will help drive innovation. This is a hands-on role for developing & supporting product features. 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 intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. While understanding our product features, you will perform rigorous analysis, measure performance and make data-driven decisions.
Description
Partner with business leaders and stakeholders to design, implement and evolve the user facing features of the 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. Strike 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.
Preferred Qualifications
Degree in Computer Science, Statistics, Applied Math, or a related field (Bachelor's, Master's, or PhD).
10+ years of industry experience building scalable applications.
Curious business attitude with a proven ability to seek projects with a sense of ownership.
Want more jobs like this?
Get jobs in Cupertino, CA delivered to your inbox every week.
Excellent communication, social and presentation skills.
Desire to work in a fast-paced and challenging work environment.
Prior experience with advanced statistical and causal inference is a huge plus.
Experience collaborating with UX designers to prototype the user experience during the design phase.
Prior experience in building highly performative Experimentation systems is a huge plus.
Minimum Qualifications
Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation, and metrics generation/measurement.
Building and deploying Machine Learning models to production using data processing tools including Spark.
10+ years of experience in application development with an in-depth understanding of data structures and algorithms.
Proficiency in computer languages, including Python, Java, and Scala, to support Machine Learning components.
Familiarity with causal machine learning tools and technologies
Using database languages (SQL and NoSQL) to build applications.
Using alerting and observability tools, including DataDog or Splunk, to monitor systems in production.
Optimizing system performance using data structures and algorithms.
Experience with software development using one of the following programming languages: Java, Scala, Rust, GoLang, Python.
Deep understanding of the full software development lifecycle.
Skilled at operating in a cross-functional organization.
Familiarity with simulation tools and technologies
Ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at Apple.