Post a Job
Post a role →
HOME Data Science & ML Display Algorithm Engineer
  • Apple
  • California, CA
  • Full-Time
  • 35 days ago
Apple VERIFIED EMPLOYER

Display Algorithm Engineer.

Data Science & ML Full-Time
♡ Save to shortlist
??% CV Match
Sign in to upload a CV and see how you match

Display Algorithm Engineer: our view in 3 lines...

  • The Role:This role is for an engineer developing machine learning based display algorithms for Apple display products.
  • The Person:The person will develop display algorithms and machine learning models, analyze engineering problems with data, and translate cross-functional insights into algorithms and models for implementation.
  • Requirements:The ideal candidate has an M.S. in a quantitative field or equivalent practical experience, proficiency in Python, and hands-on experience with PyTorch, TensorFlow, JAX, or Scikit-learn.

About the role

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.

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 (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

Published September 2, 2026
Location California, CA
Category Data Science & ML  
Job Type Full-Time  

Read our Cookie Policy