Machine Learning Engineer - Camera AlgorithmsCupertino, California, United States | HardwareDescriptionYour primary responsibilities will include developing machine learning technologies, implementing, optimizing, and integrating them into our products. This will entail close collaboration with various functional teams across Apple. You will work with product teams to define problems, prototype, integrate, and optimize algorithms tailored to hardware capabilities, and engage with the silicon team for neural network optimization. This role offers a unique opportunity to experience Apple’s culture of innovative thinking and technological advancement.Minimum QualificationsBS degree and at least 3 years of relevant industry experienceProven ability in developing machine learning algorithms for computational photography, computer vision, and image processingProficiency with ML toolkits such as PyTorchStrong programming skills in Python or C/C++Preferred QualificationsTrack record in machine learning for image and video processing, demonstrated through industry experience or publications in top-tier conferences (CVPR, ICCV, ECCV, SIGGRAPH)Experience in image restoration techniques like de-noising, super-resolution, and enhancementStrong communication, problem-solving, and critical thinking skillsKnowledge of camera sensors and ISP algorithms is a plusExperience transitioning technology from prototype to product is a plusExpertise in generative AI is a plusCompensation and BenefitsThe base pay range for this role is $147,400 to $272,100, depending on skills, qualifications, experience, and location. Apple offers comprehensive benefits including medical and dental coverage, retirement plans, employee stock programs, discounts, and educational reimbursement. Additional bonuses or relocation assistance may be available. Learn more about Apple Benefits.Equal Opportunity StatementApple is committed to diversity and inclusion. We promote equal opportunity for all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr