at Apple
Location
San Francisco Bay Area, United States of America
Compensation
$129k–$225k USD
Type
full time
Posted
1 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $225k · in the market band
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As a member of the Display Algorithm team, you will collaborate with teams across Apple that are building the most advanced display products in the world. You will develop algorithms grounded in machine learning models and large-scale data analysis, starting early in a product's lifecycle to identify potential challenges and their solutions. You will translate cross-functional insights and data into algorithms and models ready for implementation.
Investigate emerging display technologies and develop new calibration approaches and test plans to improve display optical performance
Develop identification and classification models, along with image processing methods for defect inspection, to quantify front-of-screen display performance
Collaborate with multi-disciplinary teams across display module, manufacturing, test, and system engineering, providing technical leadership and expertise to initiate new project solutions
Partner with the Display Module team to analyze measurement data and develop the computer vision and machine learning models needed to understand, optimize, and resolve display-related problems
Characterize display failures, capture the datasets required, and design machine learning experiments using the appropriate ML libraries
M.S. in Electrical Engineering, Computer Science, Optics, Physics, or a related quantitative field with 3+ years of industry experience (or equivalent practical experience)
Proficiency in Python and fundamental machine learning concepts, with hands-on experience using frameworks such as PyTorch, TensorFlow/JAX, or Scikit-learn
Experience with the ML lifecycle: data curation/cleaning, model exploration, training/fine-tuning, and systematic evaluation
Working knowledge of digital image processing, and computer vision techniques
Ph.D. in Electrical Engineering, Optics, Physics, or Computer Engineering with expertise in image processing and machine learning
Experience with multimodal machine learning (e.g., VLM), including adapting or fine-tuning large pre-trained multimodal models for domain-specific or scientific imagery
Strong domain background in display technologies (e.g., OLED, LCD), display systems and driving, optical metrology/calibration, or color science
Track record of bridging physical/hardware domain knowledge with data-driven ML models
First-author publication record in peer-reviewed ML or engineering venues (e.g., NeurIPS, ICML, ICLR, CVPR, IEEE, or equivalent)
Excellent cross-functional communication and collaboration skills to drive technical solutions across hardware, software, and display engineering teams
Apple is looking for a Display Algorithm Engineer to drive the development of advanced display technologies. This role focuses on innovative display algorithms and machine learning models that optimize and enhance Apple display products across all platforms. We want for someone passionate about analyzing engineering problems with data and delivering algorithms that achieve optimal performance.
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 $129,300 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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