Build and improve computer vision and vision-language models that support object understanding and recognition on Apple devices.

Design, train, and continuously improve computer vision and vision-language models (VLMs) for object understanding and recognition
Increase robustness on real-world data by addressing failure modes across devices
Define evaluations aligned to product quality, and use those evaluations to guide model decisions
Develop model approaches that meet on-device constraints including memory, latency, and 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
Demonstrated experience making models work in practice, including end-to-end projects spanning 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, including clear baselines, ablations, and meaningful evaluation sets

Publications in top computer vision and machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR, ideally with released code or work transferred to a product
Experience with representation learning, including 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

Location: Cupertino, CA (onsite)
Base pay range: USD 150,400 - 277,600 per year
Base pay depends on skills, qualifications, experience, and location
Eligible for discretionary employee stock programs, including opportunities to become an Apple shareholder
Eligible for discretionary restricted stock unit awards
Employee Stock Purchase Plan: purchase Apple stock at a discount if voluntarily participating
Comprehensive medical and dental coverage
Retirement benefits
Range of discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments and relocation
Note: Benefits, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program

Ph.D. or Master’s in Computer Science, Machine Learning, Computer Vision or a related field

Machine Learning Engineer, Computer Vision

Job Description