ML Data - Research Scientist

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. Minimum Qualifications + 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 Preferred Qualifications + MS/PhD in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field + 10 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 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.

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?