The Product Systems Quality team at Apple is looking for an Algorithm Validation Engineer to ensure the delivery of robust, inclusive, and state-of-the-art Computer Vision and Machine Learning algorithms in Apple's next generation of products, aiming to maintain Apple's trademark simple and elegant user experience.
Requirements
- Strong programming skills and hands-on experience with Python
- Experience in testing products utilizing computer vision, computational photography, generative AI, machine learning, or related areas
- Academic background in data science, machine learning, computer vision, and statistical data analysis
- Experience with relevant ML frameworks (PyTorch, TensorFlow, or JAX)
- Experience with CoreML, Swift, and iOS/macOS machine learning development
- Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
- Understanding of how to test and quantify performance of sensing technologies such as IMU, capacitive, environmental, light, motion, radar, optical, acoustic, and evaluate user impact and performance
Responsibilities
- design and run live test procedures, aggressor searches, user studies, and annotation pipelines to improve and influence ML algorithm performance and design
- focusing on end-to-end system performance, you will evaluate and represent the true customer experience
- using a deep understanding of the various components within the models to test comprehensively and efficiently
- work with hardware and software engineering teams to consider the system design and external factors that influence model performance
- help make Apple products more flexible, reliable, and easy to use
Other
- highly motivated, energetic, and experienced Algorithm Validation Engineer with a passion for delivering robust, inclusive, and state-of-the-art Computer Vision and Machine Learning algorithms
- enjoy working on a team of QA engineers with diverse backgrounds
- use creativity and innovation to test features that our customers love!
- Ability to communicate effectively and collaborate with partner teams
- Committed to encouraging an open and inclusive work environment
