Machine Learning Intern - Bachelor's Degree

Marvell Technology•Toronto, ON

2d•CA$36 - CA$48

About The Position

Marvell is seeking a talented and enthusiastic candidate to join their Machine Learning team. The team designs and develops high-throughput, low-latency Accelerator IPs for deep learning training and inference. As a student AI engineer, you will work closely with Data Scientists within the ML team, modeling and simulating cutting-edge deep learning algorithms for the Accelerator IP under development. This role offers the opportunity to gain a deep understanding of new topics and approaches in AI through implementation and performance analysis.

Requirements

Currently enrolled in a university and registered with the school's co-op program (Master or Ph.D. are preferred).
Concrete programming skills in Python, C++.
Be familiar with high performance computing, distributed processing, algorithm and data structures.
Be familiar with fundamental deep learning concepts and machine learning algorithms.
Be familiar with fundamental computer hardware architecture and multi-core processors.
Demonstrate strong communication skills

Nice To Haves

Experience with deep learning frameworks such as Tensorflow and PyTorch.
Very familiar with the Linux development environment.
Familiar with linear algebra algorithms such as matrix factorization, SVD

Responsibilities

In collaboration with the Data Scientists, model and run performance analysis of different deep learning architectures for the Rianta proprietary hardware design.
Running different deep learning benchmarks on other hardware such as CPU, and GPU.
Modeling deep learning operations of the Accelerator under development, e.g. convolution, matrix multiplication, pooling layers, back-propagation and running performance analysis.
Investigate and comprehend related technical reports and research papers.
Writing technical reports on the various experiments that you performed.