Company
Global disruptor in Autonomy space raising the industry standard for drones
Products have been received a multitude of prestigious awards
Growing exponentially with opportunity to gain meaningful equity in lead up to IPO phase
What you'll do
Responsible for leading the algo and/or engineering team to build advanced tools for AI development
Design the data driven deep learning pipeline to accelerate Autel’s deep learning model iteration
Lead development on open image data exploration and image retrieval, semi-supervised, auto labeling method, rule based / model based data curation method
Lead efforts on deep learning distributed training improvement and performance optimization
Collaborate with infrastructure team, simulation team and perception team on improving the efficiency and efficacy of AI model iteration
Mentor team members and develop their career path
What you'll need to succeed
Must have:
Master or Doctoral degree, more than 3 years of deep learning algorithm research and project experience with application in computer vision
Experience in applying deep learning into large scale computer vision problems
Experience in open data exploration and curation to improve deep learning models
Successful application of active learning and auto-labeling into AI development process
Familiar with development of data driven MLOps pipeline to iterate models on incoming data
Understands acceleration techniques in distributed training of deep learning models on GPU cluster
Have more than one year of experience in leading a team and managing projects
Familiar with big data technologies such as Spark, Hadoop, Flink
Nice to have:
Had deep learning and/or ML infra experience in robotics field such as autonomous driving