You will work closely with algorithm development teams to design and execute live test procedures aggressor searches user studies and annotation pipelines to improve and influence ML algorithm performance and design. By focusing on end-to-end system performance you will evaluate and represent the true customer experience while using a deep understanding of the various components within the models to test comprehensively and efficiently. Youll also work with hardware and software engineering teams to consider the system design and external factors that influence model will be proud of your work through every step of the development cycle and will help make Apple products more flexible reliable and easy to use.
Bachelors degree in CS/CE/EE and a minimum of 2 years relevant industry experience.
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.
Ability to communicate effectively and collaborate with partner teams.
Committed to encouraging an open and inclusive work environment.
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.
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