Job Description

Locations

• Cupertino, California, United States 95014

Salary

Skills Required

• developing and implementing machine learning algorithmsintermediate
• understanding of scalable architecturesintermediate
• working in Agile environmentsintermediate
• team player under tight deadline constraintsintermediate
• developing modelsintermediate
• writing production codeintermediate
• generating recommendationsintermediate
• performing large scale and complex experimentsintermediate
• leading the development and application of advanced techniques and algorithmsintermediate
• deep understanding of ad network behaviorintermediate
• leading the conception, development, and delivery of state of the art capabilitiesintermediate
• experience in ads spaceintermediate
• developing algorithms for retrieval systemsintermediate
• end-to-end ideation, development, testing and productization of algorithmsintermediate
• working with complex problems in ads retrieval spaceintermediate
• adhering to privacy principlesintermediate
• reviewing and contributing to state of the art researchintermediate
• working with cross functional teamsintermediate
• presenting findings across the organizationintermediate

Required Qualifications

• 4+ years of experience building machine learning capabilities across many different product areas at scale. (experience, 4 years)
• Proven experience in NLP, information retrieval and search. (experience)
• Ability to apply and implement research concepts, ultimately in production quality code. (experience)
• Experience defining clear, testable research hypotheses, including intended impact on the business. (experience)
• Deep understanding of design of experiments, online experimentation approaches, preferably at scale. (experience)
• Experience contributing and/or reviewing research for top conferences and publications. (experience)
• Master's, or equivalent experience, 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. (experience)

Preferred Qualifications

• 7+ years of experience building machine learning capabilities across many different product areas at scale. (experience, 7 years)
• PhD, or equivalent experience, in NLP, Machine Learning, Deep Learning, Large Language Model, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry. (experience)

Responsibilities

• Matching at Ads is a critical component of our Ads funnel and responsible for ensuring that we are retrieving relevant and engaging Ads for our users. We are building the next generation of our retrieval systems to sustain the growth of the business for the future. We are looking for a Machine Learning Engineer that will develop the algorithms for our retrieval system.
• In this role you will drive step-change improvements in our outcomes, impact our platform revenue and quality of our ads, and formulate approaches to greenfield product opportunities. You will own end-to-end the ideation, development, testing and productization of these algorithms. You will work with complex problems in the ads retrieval space, provide solution that adhere to Apple’s privacy principles, review and contribute to state of the art in research, work with a variety of cross functional teams to ensure the feasibility and robustness of delivering new capabilities. This role will work closely with organizational partners and be expected to present findings across the organization.

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