Job Location: Cupertino, CA
Summary
Posted: Mar 10, 2022
Role Number:200355028
Apple is looking for world-class qualified ML/Deep Learning engineers to develop, debug, improve and integrate machine learning technologies within our Modeling Team branch of the Special Projects Group, focusing on autonomous technologies.
Key Qualifications
- 3+ years of experience using ML technologies, such as PyTorch, TensorFlow, Jax, Theano,..
- 3+ years experience in ML and deep learning (DL)
- Expert in Python and with a minimum of 5+ years using this language
- Knowledge of probabilities and algebra typically used in machine learning and data analysis
- Experience researching current DL literature: optimization methods, common types of models and layers, etc.
- Understanding of modern machine learning concepts and state of the art deep learning frameworks
- Proven ability to train and debug deep learning systems: Define metrics and datasets, performing error analysis, training models in a modern DL framework
- Excellent communication skills — you collaborate effectively with other teams and communicate clearly about your work
- Creative, collaborative, passionate and detail-oriented
- Preferred to have experience with hardware specific optimization of ML models and deployment
- Preferred to have experience specifically in applying deep learning to robotics problems and predicting multimodal behaviors for agents
- Preferred to have experience with some of the following topics: CNNs, GNNs, Transformers, RNNs, LSTMs, fully-supervised learning, semi-supervised learning, active learning, domain adaptation, reinforcement learning, imitation learning, Generative Adversarial Networks (GANs), Markov Models
Description
As a member of the team, you will work on a hardware/software project enabled by the ML technologies you build. 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). • Oversee deep learning projects from dataset generation and preprocessing to machine learning algorithms design and metric analysis • Design and implement new state-of-the-art algorithms, integrate and improve existing pipelines • Ship and deploy ML models. Analyze metrics of ML models. • Stay current on latest ML algorithms and optimize ML systems under timing constraints • Present research results in internal talks
Education & Experience
Additional Requirements
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