Senior Machine Learning Engineer, Ad Platforms

Company: Apple
Location: Austin, Texas, United States
Type: Full-time
Posted: 13.AUG.2021

Summary

Sr. Machine Learning Engineer, Ad Platforms Austin,Texas,United States Software and Services + 4+ years of experience building machine learn...

Description

Sr. Machine Learning Engineer, Ad Platforms Austin,Texas,United States Software and Services + 4+ years of experience building machine learning capabilities across many different product areas at scale. + Differentiated, recognized expertise in NLP, forecasting and recommendation systems/search. + Demonstrated success mentoring and advising junior team member on quantitative techniques, problem solving approaches + Ability to apply and implement research concepts, ultimately in production quality code + Experience defining clear, testable research hypotheses, including intended impact on the business + Deep understanding of design of experiments, online experimentation approaches, preferably at scale + Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management + Experience contributing and/or reviewing research for top conferences and publications + Deep fluency in Java or Python. + Experience with Spark, Hadoop or other distributed frameworks..*Description* In this role you will drive step-change improvements in our outcomes, and formulate our approaches to greenfield product opportunities. You will work end-to-end to bring to bear the product capabilities that unlock those opportunities, from ideation and definition of research hypotheses, to leading execution working with other researchers and engineers. You will: - Leverage diversity to fuel innovation - Work on unusually complex technical problems, providing solutions that are highly innovative and ingenious, impacting Apple and/or industry - Review state-of-the-art research relevant to problems the Ad Platforms Algorithms team is working on, and determine approaches to apply that research to our work - Find opportunities to improve the capabilities we deliver in terms of revenue and profitability, performance, explainability, stability, robustness, etc. - Work with team leadership to set research and development roadmap to deliver benefit to Ad Platforms, designing and suggesting improvements across multiple domains - Participate and lead Apple internal Data Science & Machine learning interest groups, meet ups, and conferences - Communicate at all levels of the company, presenting hypotheses, proposals, and experimental results, and making valuable contributions to the discussion of such contributions from colleagues in internal, Apple wide, and external professional settings - Take well-considered risks to find solutions to difficult technical problems - Navigate across Apple, pulling in peers where needed and providing valuable expertise across the company.*Education & Experience* PhD in NLP, Machine Learning, Statistics, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science/machine learning projects in industry..*Additional Requirements*.*Apple Footer* 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. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . 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 (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

 
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