Summary Posted: Dec 5, 2023 Role Number: 200526642 We are seeking an Applied Machine Learning Research Scientist to join our Accessibility efforts on the Human-Centered Machine Intelligence (HCMI) team within AIML at Apple.
Research Scientists in HCMI tackle significant technical and human-centered research challenges, collaborate with partner teams across Apple to ship products, and shape the field of human-centered AIML via external publication and engagement.
Join us to design, study, and build intelligent interactive technologies that enable people of all abilities to use Apple technology. Key Qualifications Key Qualifications Experienced researcher in areas related to Machine Learning and/or Human-Computer Interaction Publication and research record commensurate with seniority Proven history of turning research contributions into tools, guidelines, or products either commercially or as open source Description Description The Human Centered Machine Intelligence (HCMI) group in Apple’s AIML organization designs, studies, and builds interactive technologies that enable people to benefit from machine learning. We are a close-knit team of research scientists and engineers in a unique position to work closely with product teams throughout Apple. This partnership and a foundation of pioneering industry practices enables our research to have direct impact. We focus on Accessibility, Data Visualization, Educational Technologies, and User Interface Tools/Technologies. Our team makes research and product contributions in both those domains and in cross-cutting human-centered areas like Design & ML and Responsible AI. The groundbreaking technologies shipped by our team have impacted millions of people.
The person joining our team would focus on our Accessibility efforts by:
- Developing new machine learning modeling approaches that advance the state of the art on Accessibility-related problems
- Designing and analyzing experiments to evaluate machine learning modeling approaches
- Working with partner teams to integrate machine learning approaches into human-centered applications
- Evaluating ML-powered applications using human-centered methods
- Creating scholarly machine learning research contributions to be shared internally and/or externally Education & Experience Education & Experience PhD in Machine Learning, Human Computer Interaction, Computer Science, or related field Additional Requirements Additional Requirements - Experience conducting research in Accessibility (e.g., atypical speech, visual accessibility, or other topics) - Experience doing data collection (e.g., developing protocols or running studies) or data curation - Experience improving pioneering machine learning models - Experience developing and shipping products that use machine learning - Strong writing and public speaking skills 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 $131,500 and $243,300, 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.
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