Deep Learning Internship

About the role:
Looking for an engineer to apply Deep Learning algorithms to implement and improve
perception algorithms related to Autonomous vehicle. The position requires you to work
on full life-cycle of Deep learning development including data collection, feature
engineering, model training and testing. One will have the opportunity to implement stateof -the-art Deep learning algorithm and apply to real end to end production. You will be
working with the team and team lead on challenging Deep Learning projects to deliver
product quality improvements.

Responsibilities:

• Build new deep learning models for real-time detection and tracking of objects.
• Find new ways to apply deep learning to predict the future behaviour of other road users.
• Creatively and collaboratively build new deep learning models that can predict the future behaviour of other road users in real-time.
• Develop efficient Deep Learning architectures that can run in real-time.

Requirements:

• Languages: Python, C++.
• Frameworks: Tensorflow, Pytorch, ONNX and Keras.
• Good understanding of Linux and version control (Git, GitHub)
• Skilled with software design, development and bug-fixing.
• Experienced with OpenCV, Deep Learning to solve images domain problem.

Good to Have:

• Frameworks: Caffee, TensorRT.
• OpenCV projects, Deep Learning projects.
• Experience with deploying Deep Learning models for real-time applications.
• Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN, GAN, etc.)

Equal Opportunity Employer:
Flux Auto's employment decisions are made without regard to race, color, religion,
national origin, gender, sexual orientation, age, gender identity, genetic factors,
military/veteran status or other characteristics protected by law.

Vaccination Requirements:
Flux Auto is implementing new requirements for employees to be fully vaccinated from
COVID-19

For further information,
Contact us on www.fluxauto.ai

Apply Now!