Edge Computer Vision AI/ML Engineer at Xailient

Full-time, Sydney sydney engineering full-time
Description
Posted 4 days ago

The Edge Machine Learning Engineer on the Xailient team is responsible for training and optimizing deep learning models for speed, efficiency and accuracy using bleeding-edge research methodologies.

Responsibilities

  • Train deep learning models
  • Optimize deep learning models
  • Deliver models to core engineering team to be deployed on a range of embedded devices
  • Deliver with velocity. This is an execution role in the product team (Engineer), not a research role (Scientist). But there is lots of advanced cool stuff!

Requirements:

  • Must be proficient in Python
  • Must have experience working with TensorFlow
  • Must have experience in TensorFlow Lite
  • Must have experience in deep learning model Optimization
  • Must have a solid Computer Science understanding (either BS, MS, PhD or equivalent experience)
  • Experience with C, C++ a plus
  • Experience with AutoML or Neural Architecture Search a plus

Skills:

  • Communication - Effective communication in written and spoken English
  • Communication - Speak up with questions or concerns, criticize constructively, know when to ask for help
  • Flexibility - Comfortable with changing priorities of a startup environment
  • Flexibility - Excited to learn new things and work outside of technical comfort zone
  • Teamwork - No brilliant jerks, but weirdo's welcome
  • Dependability - Deliver on promises, provide status proactively
  • Care for Quality - Care about your work and take pride in doing a good job
  • Customer Focus - Desire to serve customers with solutions that delight
  • Initiative - see a problem, solve a problem