Machine Learning Research Engineer (Human Sensing), SIML - ISE

Apple

Seattle, WA

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JOB DETAILS

SKILLS

Analysis Skills, Apple, Artificial Intelligence (AI), Communication Skills, Computer Engineering, Computer Science, Computer Skills, Computer Vision, Conferences, Cross-Functional, Data Quality, Data Sets, Deep Learning, Emerging Technology, Face Recognition, Failure Analysis, Human Interaction, Knowledge Modeling, Machine Learning, Mentoring, Modeling Languages, Patents, Photography, Process Improvement, Publications, Requirements Management, Research & Development (R&D)

LOCATION

Seattle, WA

POSTED

8 days ago

**Role Number:** 200634290-3337 **Summary** The System Intelligence Machine Learning (SIML) organization is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop the next generation of multi-modal Human Sensing technologies. You will be part of a fast-paced, impact-driven Applied Research organization building foundation models for facial and full-body perception, and 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, etc. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day! **Description** As a Machine Learning Research Engineer, 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. 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. Major Apple Intelligence experiences 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 flagship Photography experiences such as Cinematic mode and Photographic Styles, communication experiences such as Center Stage, and paves the way for more natural human-device interactions, e.g., with the DockKit framework. YOUR PRIMARY RESPONSIBILITIES WILL INCLUDE: Designing, implementing, and deploying state-of-the-art visual recognition systems. Building foundation models for facial and full-body perception. Driving data quality excellence through strategic dataset curation, validation, and generation to support world-class model development. Building tools and frameworks for systematic failure analysis, identifying edge cases, and driving continuous model improvement. 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 to partners and senior leaders, providing clear and actionable recommendations. Staying current with the latest trends, technologies, and standard methodologies in machine learning, multi-modal foundation models, computer vision and natural language understanding. Actively contributing to Apple's ML community by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners. **Minimum Qualifications** + Master's or Ph.D. in Computer Science, Computer Engineering, or related fields; or equivalent professional experience in Computer Vision (CV) and Machine Learning (ML) research and development. + Proven track record of training, fine-tuning and evaluating deep learning models for vision tasks using modern ML architectures. + Background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments. + Proficient in Python, PyTorch or equivalent deep learning frameworks. **Preferred Qualifications** + Expert-level knowledge of state-of-the-art methods in face recognition or other facial analysis and biometric systems. + Hands-on experience training and scaling multi-modal large language models (LLMs) or large-scale vision-language models (VLMs). + Experience with on-device ML, model optimization (knowledge distillation, quantization, pruning), or production-grade ML pipelines.

About the Company

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And 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.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1976

WEBSITE

https://www.apple.com/jobs

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