Machine Learning Research Engineer (Computer Vision) - SIML, ISE
Apple
Software Engineering
Seattle, WA, USA
Posted on Dec 18, 2024
Summary
Posted:
Weekly Hours: 40
Role Number:200583976
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
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.