ML Data - Research Scientist

Cupertino, California, United States$150,400 - $225,300

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.

When collecting multi-modal human data, establishing a reliable "ground truth" can be notoriously difficult and subjective. We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce subjectivity, improve signal quality, and ultimately help our multi-modal models converge faster and achieve higher performance.

Define research topics and data strategies aligned with model performance and product requirements
Design, build, and run controlled experiments to evaluate how data collection methods, quality, and composition affect model convergence and downstream performance
Design new ways to collect, label, and interpret multi-modal human data, translating insights into improved collection protocols and data specifications
Design novel methods to collect, analyze, and interpret multi-modal human data, translating these insights into highly reliable "ground truth" specifications
Characterize the practical and statistical limits of data collection setups (sensors, protocols, annotation pipelines) to inform feasibility and define data requirements
Develop and analyze real-world data collection experiments (e.g., A/B tests on collection methodology, sampling strategy, labeling schemes) to support model training work
Analyze and report results clearly, translating findings into actionable recommendations for data pipelines, labeling guidelines, and dataset design
Partner with multidisciplinary teams across hardware, software, research, and ML engineering to drive data collection from concept to production-scale

BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
Hands-on experience in a data-oriented, experimentation-heavy role, ideally supporting ML model development

MS/PhD in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
3 years of relevant industry experience
Experience with multi-modal human data (e.g., video, audio, motion capture) and the challenges of establishing ground truth for such data
Familiarity with human probing/annotation methods and inter-rater reliability techniques
Experience designing data collection experiments and interpreting their effect on model training/convergence
Outstanding communicator with the ability to present complex technical findings to diverse audiences
Collaborative team player who thrives in multidisciplinary, cross-functional environment

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 $150,400 and $225,300, 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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ML Data - Research Scientist

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