AIML Research Scientist - ASE
Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Join us! Research, design, and develop machine learning models that personalize the TV App for millions of users worldwide! Propose, prototype, and evaluate algorithm improvements. Build large-scale personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast, and Books Recommendations. See your work touch the lives of billions of Apple users worldwide. The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. We achieve this on a massive scale, meeting Apple's high expectations with high performance, to deliver a vast array of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple's unique integration of hardware, software, and services, designers, scientists, and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here.
Description
We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in machine learning. With your expertise, we want to develop novel solutions to power personalized experiences across the TV App that enriches the lives of our customers. You will have the incredible opportunity to see your solutions deployed at Apple's truly incredible global scale. You are expected to have: Deep knowledge of machine learning-powered personalization algorithms, design patterns, and tools. In particular, thisincludes deep learning, reinforcement learning, and unsupervised learning methods. Knowledge of generative artificial intelligence applied to recommendation systems. Practical real-world experience with building scalable recommendation systems. Proven grasp of the open-source Python ML/AI tech stack, including Tensorflow, PyTorch, scikit-learn, numpy, scipy,and pandas. Technical competence in production-quality software development. Familiarity with big data technologies. Strong written & oral communication skills. You will: Develop and apply state-of-the-art machine learning and artificial intelligence techniques to personalize user experiences. Conduct human evaluation and rigorous experiments to test and improve your models. Derive insights from experimentation and convert them into feature improvements. Ship production quality code to deploy your models at a global scale. Contribute to the scientific literature through publications and participation in leading academic conferences. Help chart the future growth of personalization across Apple's services ecosystem.
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Minimum Qualifications
- Master's degree (Ph.D. preferred) in computer science, information science, machine learning, deep learning, NLP, computational linguistics, or related technical field. 3+ years of relevant experience.
- Experience with some combination of Spark, Java, Scala, Python, R, Tensor-flow.
- Strong knowledge of text mining, Big Data, NLP, and Large Language Models.
- Experience with large distributed systems and performance tuning.
- Ability to handle high workload and multiple responsibilities.
- Exceptional written & oral communication skills.
- Experience working with large text corpora and/or metadata.
- Familiarity/experience working on recommender systems and/or applications of generative AI for recommendations and personalization
Preferred Qualifications
- Record of relevant publications
- Record of relevant industry experience
- Experience presenting technical information to broad audiences
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 $181,100 and $272,100, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
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