Machine Learning Engineer, Camera Algorithms

Key Skills

Algorithms, Automation, C Programming, C++, Deep Learning, Effective communication skills, Machine learning techniques, Python Programming, PyTorch

Job Description

As a machine learning engineer in the team, you will be responsible for designing and developing novel machine learning algorithms and techniques, designing and managing data curation, optimizing solution pipeline, and delivering to products with collaboration across global teams in fast production iterations.

Key Qualifications

• Expert knowledge of computer vision and deep learning, including algorithms and tools
• Solid research and development experience in fields related to camera/ISP algorithms; Conventional and generative image/video enhancements, such as de-noising, de-blur, de-hazing etc.
• Strong skills in Python, PyTorch and C/C++
• Excellent written and verbal communication skills in Mandarin and English.
• Understanding camera sensor, imaging process, digital image signal processing would be a bonus.
• Experience with real-time system, network compression, network optimization, transfer learning, ML data acquisition and management would be a bonus.

Education & Experience

• MS/PhD in Computer Science or equivalent fields (Electrical Engineering, Automation, Mathematics, etc).

Additional Requirements

Experience with camera hardware/firmware, computational photography, and related machine learning technologies.

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

Apple benefits programmes vary by country and are subject to eligibility requirements. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.