Machine Learning Engineer - Perception ML Systems
- Cupertino, CA
Posted: Jun 4, 2020
Role Number: 200169362
Apple is looking for a talented, proactive, and results-oriented Machine-Learning Systems software engineer to help advance state-of-the-art of perception for autonomous technologies. In this position, you will be at the intersection of machine learning and large-scale systems, utilizing expertise in these area in order to build a scalable machine-learning training and evaluation environment that is efficient, scales with more data and compute is reliable and a pleasure to use. YOU WILL WORK ON - Implementing algorithms for efficient, large-scale, distributed DNN training. - Balance memory with compute to enable training of ever-larger models. - Make recommendations regarding HW configuration to minimize I/O and network overhead.- Profile and optimize low-level DNN training code; implement custom CUDA kernels to optimize slow operators.
- 3+ years of professional software development experience in production environment in at least one of the following: Python, C++, CUDA.
- Graduate level education in computer science or equivalent engineering degree.
- Demonstrated creative, critical and independent thinking capabilities and troubleshooting skills.
- Strong analytical and communication skills. EITHER:
- Experience in building efficient distributed training infrastructure for machine learning.
- Familiarity with Deep Neural Networks and modern platforms (Pytorch, TensorFlow). AND/OR:
- Experience with implementing parallel and distributed algorithms in HPC context: MPI, OpenMP, TBB in C/C++ or GPGPU programming using CUDA.
- Experience with distributed cloud compute using modern open source libraries.
You will join a fantastic team of exceptional engineers and researchers with deep experience in robotics, machine learning, and software engineering. We have a clear mission and always strive for the best possible result. We search for solutions as a team and value clear-eyed feedback. Time constraints and big goals encourage us to sharpen our focus and force us to make the right decisions.
Education & Experience
Bachelor degree or Masters in computer science/ML equivalent professional experience.
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