Machine Learning Engineer at Passio Inc.

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

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