Machine Learning Engineer, Advertiser AI, Ad Platforms

Key Skills

Aartificial intelligence, Agile methodologies, Database, Design, Machine learning techniques, Optimization, Python Programming, SQL, Statistics, Teamwork

Job Description

Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. We help developers and marketers of all sizes drive app discovery across the App Store. Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content in a brand-safe environment, while supporting publishers and journalists. Sponsorship integrations and experiences in live sports on Apple TV help advertisers connect with captivated audiences. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone. Advertiser AI team is responsible for leveraging information on our ad marketplace to make recommendations to our advertisers and/or automatically optimize campaigns on their behalf to drive better performance for our advertisers across multiple domains and placements in a privacy preserving way. As a machine learning engineer you will be responsible for building end to end machine learning solutions in ads domain. You are expected to own machine learning modules in areas covering conversion modeling, automatic bidding, bid/keyword/budget recommendation, creative optimization, churn prediction, automatic targeting and more. The position also involves developing a keen understanding of the behavior of our Ad Platforms systems; detecting meaningful data patterns; assuring the integrity and breadth of the data; measuring user, campaign and app performance; and finally analyzing the results of large-scale experiments.

Key Qualifications

• 2+ years of experience in developing end to end machine learning pipelines on distributed systems.
• You have experience in deploying machine learning solutions on marketplaces. Any previous experience in advertising technology in areas such as conversion modeling, automatic bidding, keyword/bid/budget recommendation, creative optimization, advertiser churn prediction, automatic targeting and auction design will be a plus.
• You can drive multi-functional collaboration with product, data engineering, experimentation and machine learning operations.
• You can actively participate in investigations into multiple streams of ads quality data, draw conclusions from data, and recommend actions.
• You are comfortable with alternative experiment designs such as budget splitting, switch backs, interleaving in addition to traditional a/b testing.
• You have extensive experience developing in Python.
• You are familiar with databases, SQL, and scripting languages.
• You have a practical understanding of some of the modern machine learning applications to rare events modeling, natural language processing, ranking, clustering and embedding generation.
• You enjoy working closely with operational teams on deployment, monitoring, and management concerns.

Description

At Ad Platforms, we are constantly improving our algorithms to provide amazing user experiences and drive value for publishers and developers. You will find opportunities to improve our platform and build out data products that drive value for our advertisers. You will invent, design and implement new algorithms using machine learning and data science systems. You will have the opportunity to design and implement experimentation strategies to understand the impact of new models, work with cross functional teams to prototype new concepts, and deliver end-to-end systems in an agile setting. You will work with colleagues on a shared code base, sharing and contributing in a highly collaborative environment!

Education & Experience

PhD in computer science, electronics, statistics, mathematics, physics or related fields with 2+ years of industry experience or MS in computer science, electronics, statistics, mathematics, physics or related fields with 5+ years of industry experience

Additional Requirements

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.

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 $138,900 and $256,500, 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.