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Senior Research Scientist, Apple Media Products

Apple, Inc.
United States, Washington, Seattle
375 Hudson Street (Show on map)
Nov 29, 2023
Summary

Posted: Nov 26, 2023

Weekly Hours: 40

Role Number: 200520071

The Apple Media Products Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with dedication to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. The Apple Media Products Evaluation team is looking for a researcher to design, coordinate, implement, and monitor research studies which enable the development and validation of machine learning models. Moreover, the person in this role will work to identify new and innovative opportunities to achieve impact. In this role, you will reveal what our users need from our products by conducting both primary and secondary research, exploring the behaviors and motivations of our users, and working with teams of Data Scientists, Product Managers, Engineers, and others to develop new evaluation methodologies and user research studies. You'll inspire change at all stages of product development by delivering exciting oral, written, and visual presentations about our findings. Most importantly, your job as a researcher is to help the Evaluation team understand what would make a user's experiences feel more intuitive, accessible, fun-and even magical! With considerable experience, you evaluate all the features contributing to user experience and behavior, providing expertise, collaborating internally and occasionally leading projects. You contribute new processes and identify product and use requirements. You will combine broad skills in experimental design, machine learning, statistical analysis, programming, and behavioral science theory/methods to shape the product and research direction for products used and loved by all Apple customers. You will identify and quantify problems, and embark on new research areas worth exploring through innovative methods by applying principles of rigorous and ethical research to build and improve products that satisfy users' needs and exceed their expectations.

Key Qualifications

Key Qualifications

  • - Research background in machine learning.
  • - Expertise in data collection, data management, statistical inference, and the application of advanced multivariate/causal modeling methods
  • - Expertise in experimental design and methods from A/B tests to multi-method behavioral science experiments, including field experiments
  • - Experience with survey design and analysis (specifically for the purposes of experimental and quantitative analysis)
  • - Fluent in at least one statistical programming language (E.g., R, Python, or similar); basic competency with SQL is a plus
  • - Comfort working within ambiguous problem spaces and working as part of a cross-functional team
  • - Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management
  • - Exceptional oral, written, and visual storytelling skills. Can effectively communicate to both technical and non-technical audiences
  • - Ability to translate research findings into actionable data-driven recommendations
  • - Preferred qualification: Established contributor and/or reviewer of research for top conferences and publications, ideally attracting invited talks and submissions to such
  • - Preferred qualification: Experience applying behavioral science principles and methodologies in an industry, government, or nonprofit setting
  • - Preferred qualification: Knowledge of product development process for both hardware and software products, including data driven algorithm development process


Description

Description

Examine existing data, product designs, and prior research to identify research gaps. Work on unusually complex technical problems, providing solutions that are highly innovative and inventive, impacting Apple and/or industry Maintain up-to-date knowledge of academic research and attend conferences that are relevant to problems machine learning teams are 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 Evaluation, designing and suggesting improvements across multiple domains Disseminate research concepts and frameworks via workshops, presentations, and collaboration 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 Draw on research literature to advise the team in taking scientifically informed and well-considered risks in our pursuit of solutions to difficult technical problems Navigate across Apple, pulling in peers where needed and providing valuable expertise across the company

Education & Experience

Education & Experience

PhD or Master's degree (PhD preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Statistics, Social Science, Human-Computer Interaction or related field.

Additional Requirements

Additional Requirements

Pay & Benefits

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 $132,300 and $241,500, 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.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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