- We are looking for a Machine Learning Engineer with strong foundations in computer vision and
- machine learning, and a practical mindset: you care about making models work on real data, in
- real products. Our team builds foundational perception technologies. These models are built
- once and reused by many experiences, across iPhone, iPad, Mac, HomeView and more. They
- already power Apple Intelligence features such as Visual Intelligence and Clean Up in Photos.
- Our work spans a wide range of models, from lightweight, task-specific vision models to
- general-purpose vision-language models. In this role, you will build computer vision models and
- VLMs that help Apple devices recognize and understand the objects around the user. You will
- turn recent research into models that ship on millions of devices.
- Design, train and improve computer vision and VLM models for object understanding and
- recognition.
- Make models robust to real-world conditions and across devices and fix failure modes on real
- data
- Define evaluations that reflect product quality, and use them to drive model decisions.
- Design models for on-device constraints (memory, latency, power).
- Ph.D. or Master's in Computer Science, Machine Learning, Computer Vision or a related field,
- or equivalent industry experience.
- Strong foundations in computer vision and deep learning.
- Track record of making models work in practice: end-to-end projects covering data, training
- and evaluation on real-world visual data.
- Proficiency in Python and PyTorch or an equivalent deep learning framework.
- Proficiency in using generative coding tools
- Rigorous experimentation: clear baselines, ablations and meaningful evaluation sets.
- Publications in top computer vision or machine learning venues (CVPR, ICCV, ECCV,
- NeurIPS, ICLR), ideally with released code or work transferred to a product.
- Experience in representation learning, such as self-supervised learning, metric learning,
- retrieval or recognition.
- Experience applying machine learning in an industry or product setting.
- Experience with knowledge distillation or model compression.
- Familiarity with vision-language models.
Job description provided by Apple.
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