Computer Vision ML Engineer - remote

Overview

Passionate about Artificial Intelligence, Augmented Reality and the future of edge-AI? Read on!

Passio is looking for a talented ML/AI Engineer to join our team.

 Why should you be excited?

We created a new interactive edge-ai platform powered by neural networks running on mobile devices and enabling new types of personalized UX that at the interface of AI and AR. Take a look at the capabilities of our Nutrition-AI product and imagine the opportunities it represents: https://youtu.be/XvcHc8Ua5ww

You will be working with a talented team of Ph.D.'s and AI scientists and see the results of your work impacting lives of millions of people around the world.

 Responsibilities

• Work with our engineering team on development of the next gen. neural networks 
• Develop on-device voice-driven conversational AI systems
• Help us developing machine learning techniques for reconstruction of 3D environments
• Explore ways to speed up the performance of neural networks on mobile devices, AR devices, and edge-compute platforms.
• Work with our mobile engineers to build new user experiences at the intersection of AI and AR
• Support development of fully automated self-learning AI systems
• Support development of automated AI pipelines for both internal and external customers

Qualifications

• 2+ years experience with machine learning
• 4+ years experience with software development
• Background in computer science or adjacent fields (e.g., physics, math). 
• Hands-on experience implementing ML algorithms in C/C++ and Python. 
• Experience with TensorFlow
• Experience implementing machine learning algorithms on embedded platforms or mobile environments is a plus
• Agility and willingness to work in a rapidly growing startup environment

Why apply

• You want to excel in a small, lean startup environment
• You have experience working in a demanding research or startup environment
• You're looking for a new challenge in life
• You want to see the results of your work impacting lives of millions of people around the world