Display Algorithm Engineer

Apple Inc.

San Francisco (CA)

On-site

USD 129,000 - 225,000

Full time

7 days ago
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Benefits offered by this job

Health benefits
Employee stock programs

Job summary

Apple Inc. in the San Francisco Bay Area is seeking a Display Algorithm Engineer to drive advanced display technologies. You will develop algorithms grounded in ML and data analysis to optimize Apple display products across platforms, starting early in a product lifecycle.

You will collaborate with cross-functional teams to translate insights into deployable models, calibrations, and tests, pushing performance and reliability of display systems.

Qualifications

  • MS in Electrical Engineering, Computer Science, Optics, Physics, or related field with 3+ years of industry experience.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow/JAX, 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.

Responsibilities

  • Investigate emerging display technologies and develop 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.

Skills

Python
ML frameworks
Machine learning
Image processing

Education

MS in Electrical Engineering, Computer Science, Optics, Physics

Tools

PyTorch
TensorFlow/JAX
Scikit-learn

Job description

San Francisco Bay Area, California, United States Hardware

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.

Description

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.

Responsibilities
  • 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
Minimum Qualifications
  • 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
Preferred Qualifications
  • Ph.D. in Electrical Engineering, Optics, Physics, or Computer Engineering with expertise in image processing and machine learning
  • Experience with multimodal machine learning ("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
  • Excellent cross‑functional communication and collaboration skills to drive technical solutions across hardware, software, and display engineering teams

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 employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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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