Apple
Senior Machine Learning Engineer - Experimentation
Apple, Cupertino, California, United States, 95014
Senior Machine Learning Engineer - Experimentation
Cupertino, California, United States 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 sizesfrom 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 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. Minimum Qualifications
10+ years of experience in web application development with an in-depth understanding of data structures and algorithms. Building and deploying Machine Learning models to production using data processing tools including Spark. Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation, and metrics generation/measurement. 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. Preferred Qualifications
Degree in Computer Science, Statistics, Applied Math or related field. 10+ years of industry experience building scalable applications. Curious business attitude with a proven ability to seek projects with a sense of ownership. 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. 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 $212,000 and $386,300, 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. 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.
Cupertino, California, United States 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 sizesfrom 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 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. Minimum Qualifications
10+ years of experience in web application development with an in-depth understanding of data structures and algorithms. Building and deploying Machine Learning models to production using data processing tools including Spark. Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation, and metrics generation/measurement. 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. Preferred Qualifications
Degree in Computer Science, Statistics, Applied Math or related field. 10+ years of industry experience building scalable applications. Curious business attitude with a proven ability to seek projects with a sense of ownership. 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. 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 $212,000 and $386,300, 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. 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.