Machine Learning Research Engineer (Computer Vision) - SIML, ISE Seattle,Washington,United States Machine Learning and AI The System Intelligence Machine Learning (SIML) organization is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop next generation multi-modal human sensing technologies. You will be part of a fast paced, impact-driven applied research organization working on cutting edge machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, and more! **Description** Multi-modal human sensing is a foundational capability that powers intelligent experiences based on key human traits such as identity, expression, clothing, action, gesture, gaze and human-object interaction. As a Machine Learning Research Engineer on the SIML team, you will be responsible for designing and developing cutting-edge AI/ML models for human sensing, with a focus on building robust cross-domain identity recognition systems. Major Apple Intelligence experience such as personalized Natural Language Search, Memories Creation, as well as personalized Image Generation are powered by our ability to learn robust representations of visual human traits. Efficient real-time visual human sensing powers marquee Photography experiences, such as Cinematic Mode and Photographic Styles, and communication experiences such as Center Stage. This paves the way for more natural human-device interactions, for e.g., with the DockKit framework. Your primary responsibilities will include: * Designing, implementing, and deploying state-of-the-art visual recognition systems. * Directly interacting with all cross-functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development. * Effectively communicating results and insights gained to partners and senior leaders, providing clear and actionable recommendations. * Staying abreast with the latest trends, technologies, and best practices in machine learning, multi-modal foundation models, computer vision and natural language understanding. * Actively contributing to ML community at the company by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners. Selected references to our team’s work: https://machinelearning.apple.com/research/recognizing-people-photos https://www.apple.com/newsroom/images/2024/10/apple-intelligence-is-available-today-on-iphone-ipad-and-mac/article/Apple-Intelligence-Photos-search\_inline.jpg.large.jpg https://www.apple.com/newsroom/videos/videos-2024/autoplay/2024/10/apple-intelligence-image-playground/large\_2x.mp4 **Minimum Qualifications** + Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience. + Proficient in Python, Pytorch or equivalent DL frameworks + Proven track record to design and implement solutions using modern ML architecture **Key Qualifications** **Preferred Qualifications** + Experience with C++ and Swift programming. + Background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments. **Education & Experience** **Additional Requirements** **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 $135,400 and $250,600, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .