Imagine the possibilities here. At Apple, new ideas swiftly transform into extraordinary products, services, and customer experiences. With passion and dedication, you can achieve remarkable things. Here, dynamic and hardworking individuals, coupled with inspiring and innovative technologies, are the norm.
Our passion for innovation extends beyond our products to our practices, solidifying our commitment to leaving the world better than we found it. Join us in delivering the next groundbreaking Apple product.
Are you passionate about tackling unsolved challenges? As a member of our dynamic group, you’ll have the unique and rewarding opportunity to design upcoming products that will delight and inspire millions of Apple’s customers daily.
Are you passionate about building products that harness the power of artificial intelligence, machine learning, and computer vision? Do you have the expertise to apply cutting-edge knowledge to create innovative AI camera features for Apple’s products, such as the iPhone or iPad? If you’re an exceptional data engineer, the Camera Intelligence team is seeking you to join us in building our next generation of camera features.
Description
We are seeking a Data Engineer to join our team to leverage the potential of artificial intelligence in Apple's cameras. In this highly collaborative role, you will partner with data collection/annotation teams, ML researchers, and camera feature teams to integrate models, design data pipelines, and shape the data requirements for next-generation camera intelligence features. An ideal candidate should possess experience with modern machine learning workflows, a solid grasp of deep learning and the data requirements of modern network architectures.
Minimum Qualifications
Excellent written and verbal communication skills.
Proven ability to collaborate across multiple teams including data collection/annotation, ML researchers, and camera feature teams.
Strong programming skills in Python with hands-on experience with Dask for distributed data processing
Familiarity with ML frameworks (TensorFlow, PyTorch) and modern deep learning architectures
Understanding of imaging fundamentals: raw sensor data, ISP outputs, color spaces, and image quality metrics.
Ability to work independently and resolve infrastructure challenges with minimal support.
Bachelor's degree in Computer Science, Engineering, or related field with relevant experience in data engineering and computer vision/imaging domains.
Preferred Qualifications
Deep understanding of concurrency, parallelism, and working with S3-like object storage systems
Experience with efficient data storage formats for ML workflows (LMDB, HDF5, Parquet, or similar)
Experience building ETL pipelines for image/video datasets and ML training workflows.
Responsibilities
Work and communicate cross functionally with ML researcher and annotation teams.
Drive our ML data efforts.
Design and implement data pipelines.
Support our model selection process.
Eeo Content
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. Learn more about your EEO rights as an applicant.
