Display Algorithm Engineer

Socket.dev; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple is seeking a Display Algorithm Engineer to drive the development of advanced display technologies and ML-enabled algorithms. You will design and optimize models using large-scale data across platforms to deliver enhanced display performance.

Collaborate with cross-functional teams to translate insights into production-ready solutions, starting early in a product lifecycle to anticipate challenges and enable robust deployments.

Qualifications

• M.S. in Electrical Engineering, Computer Science, Optics, Physics, or related field with 3+ years of industry experience
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow/JAX, or Scikit-learn
• Experience with ML lifecycle: data curation/cleaning, model exploration, training/fine-tuning, and evaluation
• Working knowledge of digital image processing and computer vision techniques

Responsibilities

• Develop algorithms grounded in machine learning and large-scale data analysis
• Translate cross-functional insights into production-ready algorithms and models
• Collaborate with teams across Apple to deploy display solutions

Job description

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