Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

Sr. Computer Vision and Machine Learning Engineer, Creativity Apps Cupertino, California, United States - Software and Services At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight pros and enthusiasts alike. As a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world‑class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity! Description We are hiring a software engineer to work on a new initiative that will push the boundary of what's possible in the field of Generative AI. The ideal candidate will have deep knowledge in computational photography and multi‑modal image editing. This position requires a self‑motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. Responsibilities Incubate state‑of‑the‑art machine learning algorithms and demonstrate their applicability to Apple's products. Take ownership of the full lifecycle of machine learning models, from large distributed training and validation to efficient inference at scale. Design data pipelines in partnership with collection, curation and evaluation teams to ensure suitable model inputs. Communicate the latest research developments in image generation to help drive the long‑term product roadmap. Partner with cross‑functional teams to bring experimental models and proof‑of‑concept features to next‑generation products. Minimum Qualifications MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state‑of‑the‑art computational photography and machine learning technologies. Extensive knowledge in theory and practice of machine learning and deep learning techniques, particularly diffusion models, variational auto‑encoders and transformers. Experience delivering customer‑facing products with computer vision, computational photography or generative AI features. Hands‑on experience building, training, evaluating, and deploying diffusion, transformer and Generative Adversarial Network based models, or related methods. Experience contributing to large codebases while delivering high‑quality software at scale. Strong programming skills in high‑level languages like Python and one of the deep‑learning toolkits such as PyTorch, JAX, or TensorFlow. Ability to collaborate effectively across organizations and drive alignment in large cross‑functional projects. Ability to concisely communicate with audiences of different backgrounds, from non‑technical individuals to experts in the field. Committed to encouraging an open and inclusive work environment. Preferred Qualifications Experience optimizing models and algorithms that run efficiently on resource‑constrained platforms is a plus. Experience with flow matching and multi‑modal conditioning for generative modeling is a plus. Familiarity with 3D reconstruction techniques from single or multiple images, particularly ML‑based methods, is a plus. Knowledge of and keen interest in the art and science of photography and aesthetics. Publications at major conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) is a plus. Compensation and Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Apple is an equal‑opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. At Apple, we believe accessibility is a fundamental human right. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. #J-18808-Ljbffr Apple