Machine Learning Engineer - DI Optimization - Ad Platforms

Key Skills

Apache Airflow, Apache Hadoop, AWS, JAX framework, Machine learning techniques, Marketing Strategy, Natural Language Processing (NLP), Optimization, Python Programming, PyTorch, Sales, Snowflake, SPARK Programming, SQL

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. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Insights team is seeking a ML engineer to join in developing the next generation of analytical solutions working with Engineering, Product, Sales, Marketing, and Finance. In this role you will work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement solutions that are essential to running and growing the business. Responsibilities include turning the huge amounts of data generated by user searches, app content, and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and efficiency for app developers. Do you have experience in applied research with expertise in pattern mining, anomaly detection, text analytics, predictive modeling, classification, and optimization? This role requires both a broad knowledge of existing analytics algorithms and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.

Key Qualifications

• - 6+ years of recent experience in a data science or ML engineering role. Preferably experience in the digital advertising industry or related field.
• - Programming skills in Python and SQL, and familiarity with packages like sk-learn, xgboost, PyTorch, JAX, etc highly desirable.
• - Comfortable with hybrid cloud technologies such as Hadoop, AWS, Snowflake, Spark and PySpark. Familiarity with job orchestration frameworks like Airflow also desireable.
• - Experience in quantitative analysis including regression, classification, clustering, and time-series analyses. Experience in geospatial analysis, deep learning, and / or NLP preferred.
• - Ability to communicate the results of analyses in a clear and effective manner.
• - Ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems.
• - Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production
• - Ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.

Description

Support Product, Marketing, Sales and the Executive Team with analytics for product performance and customer insight * Empower the global Sales teams with insights to advise and fulfill their strategic objectives and goals * Quantify the impact of product, sales, and marketing initiatives on advertiser performance, satisfaction, and future behavior * Forecast performance and yield by advertiser cohorts; create propensity models to drive marketing and sales strategies * Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance, and greater customer happiness * Monitor usage metrics and provide business-based explanations for large scale trends and patterns in advertiser lifecycle behavior. Detect and surface anomalies * Develop reusable models and assets working closely with Data Technology team to ensure scalability and modernization as models move into production * Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers

Education & Experience

Background in computer science, mathematics, or similar quantitative field with a minimum of 6 years professional experience. Graduate degrees in these fields a plus. Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in significant ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programs vary by country and are subject to eligibility 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. Apple dedicated to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

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 $170,700 and $300,200, 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.