Apple is looking for a world-class ML/Deep Learning engineer to develop, deploy and integrate machine learning technologies. Our Special Projects Team focuses on autonomous technologies in a robotics environment. You will work on a hardware/software product enabled by the ML technologies you build, optimize models for certain hardware architectures, and apply your knowledge of the underlying hardware to steer model development.Key Qualifications
DescriptionYou have in-depth expertise as a ML/DL developer and already gained experience in building, training, deploying and integrating machine learning models? You are excited to integrate and bringup the machine learning models on Apple silicon? We are looking for a Senior Machine Learning Engineer to help us building, deploying and integrating our ML models into our runtime stack. As a member of the team, you will partner with ML developers and work on deploying and integrating groundbreaking deep learning models on Apple silicon and optimizing ML code for better training and inference throughput. Our team pursues research & development in the areas of machine learning (ML) with a particular focus on deep learning (DL), optimization, and reinforcement learning (RL). You will work on one of the most challenging technical problems of today, and develop new ML solutions that will impact and enable future Apple products. You’ll join a cross-continental team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. You will research and develop innovative ML strategies for challenging problems that will affect future Apple products. We hope you’re passionate about the values that drive us: - Passion for the mission: We’re here to make something great. We take on whatever work is right for the product and strive for the best possible results. - Humility: The right answer is more important than being right. We search for solutions as a team and value clear-eyed feedback. - Lean habits: You can’t grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make great decisions.Education & ExperiencePhD or Masters degree in Machine Learning, Robotics, Statistics, Computer Science, Electrical Engineering, or equivalent professional experience. If this is you, we'd love to hear from you!