Display Algorithm Engineer

Apple

4d

About The Position

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. 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.

Requirements

• M.S. in Electrical Engineering, Computer Science, Optics, Physics, or a related quantitative field.
• 3+ years of industry experience (or equivalent practical experience).
• Proficiency in Python and fundamental machine learning concepts.
• 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.

Nice To Haves

• 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.

Responsibilities

• Develop algorithms grounded in machine learning models and large-scale data analysis.
• Identify potential challenges and their solutions early in a product's lifecycle.
• Translate cross-functional insights and data into algorithms and models ready for implementation.
• Collaborate with teams across Apple that are building advanced display products.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior