Computer Vision Engineer US

Portland, US

Are you passionate about technology and working for a growing company in a fast-paced environment?
Unleash live is a world-leading A.I. video analytics platform, helping our customers in the infrastructure, renewables and cities & transport spaces take vision from any camera and combine it with A.I. to deliver actionable insights in real-time.
After securing a Series A fundraising round, Unleash live is in an exciting expansion stage focused on the Australian and the US markets. People that are interested in travel and are flexible to work with our globally spread team are our best assets.
To be successful we are always looking for people that thrive in solving customer challenges, and are capable of developing technology that drives innovation.
This is a great opportunity for someone who wants to grow their career, gain experience in multiplebusiness units and likes access to the senior leadership team.
We have a young and dynamic, culturally diverse team that is based in Sydney, Poland and soon to be established in the US.
We are looking for an enthusiastic and talented person to join our close-knit, friendly AI team who wants to apply computer vision to real-world challenges. As a Computer Vision Engineer at Unleash live you will be joining the A.I. team and have the opportunity to build enterprise-grade models to solve and improve industrial workflow processes.
You are someone who has a broad knowledge of computer vision, machine learning and software development techniques to help design, implement and maintain a cutting-edge A.I. platform.
You will be joining our growing team in tackling complex problems, helping shape how we approach Computer Vision, Robotics and Automation at scale as Unleash live continues to grow.

What you will do

  • Assist in the development and deployment of an automated object recognition and A.I. data analytics infrastructure
  • End to end hands-on ownership of computer vision features and various projects
  • Deep knowledge on conventional and modern computer vision algorithms including:
  • Image processing
  • Stereo matching, registration, alignment, and image stitching
  • 2D to 3D transformation and bird eye view analysis
  • Single image depth measurement
  • Computational Geometry
  • Pattern recognition
  • Optical Character Recognition (handwritten) 
  • Running tests, performing statistical analysis, and interpreting test results
  • Documenting machine learning processes
  • Working with other groups while maintaining clear differentiation and value in our specific offerings, and leading the path of value-driven AI features that are innovative and deployable to real customers 
  • Stay current and up-to-date around key research areas in computer vision, by constant paper reading and testing new models

People that fit this role

  • Passion for cutting edge computer vision/machine learning technologies and product delivery
  • Desire to solve customer problems and technical requirements
  • High levels of personal commitment and accountability
  • Results-oriented and a bias for action
  • Attention to detail and dedication to quality
  • Ability to work independently and cross-functionally with other members of the team
  • Ability to communicate both good news and bad with urgency
  • A learning and growth mindset
  • Savvy, with a love of problem-solving and the ability to think outside the box
  • Demonstrate the Core unleash Values: Passion, Commitment, Respect & Courage

What will help you succeed

  • Bachelor's, Master’s or PHD in computer science or similar, alternatively a comparable industry career with a proven track record of successful projects
  • 3+ years of experience in applying AI to practical and comprehensive technology solutions
  • Proven experience with ML, deep learning, Tensorflow, OpenCV
  • Comfortable working in a fast-paced deployment centric environment exploring the unknown
  • Right to work in Australia
  • Preferred Requirements
  • Author of published research papers in the areas of data science and machine learning
  • Experienced with developing models solving real-world problems in the following fields: cities, transportation, infrastructure
  • Experience with cloud services: AWS, Azure, GoogleCloud
  • Experience with video, camera and robotics
  • Knowledge of underlying production technology such as Linux, Kubernetes/Docker and Git(hub)
  • Expert in Python

Why you will enjoy working with us

  • An exciting space - we are leading innovative and cutting edge AI technologies across the Cities and Infrastructure sectors to help make a real, positive impact on company workflows around the world.
  • Flexible work - we believe in a hybrid work environment. Plenty of flexible work options are available with us.
  • Grow your career with us – you'll be given a high degree of autonomy to make your mark in this role. Learning is gold and we believe you should never stop learning, we offer a personal budget for L&D spending and we happily promote training courses that will help you grow.
  • Learn from the best - stay sharp by working with industry professionals who are passionate about what they do.
  • Competitive remuneration – remuneration might not be everything but it is still important.
  • We're a scale-up with a unique culture - we enjoy social events, collaborative team events and we take pride in the care of our team.
Our team is located across several continents with offices in the USA, Australia, and Europe. We work in an agile mode, on location and remote fashion supporting each other with a heavy bias towards open communication and high quality outcomes.
We are proud of our diverse cultural team and hybrid work environment. We believe building a team diverse in people, ideas and experiences allow individuals to perform at the highest level.

Tags: Agile AWS Azure Computer Science Computer Vision Data Analytics Deep Learning Docker Git Industrial Kubernetes Linux Machine Learning OpenCV PhD Python Research Robotics TensorFlow Testing

Perks/benefits: Career development Flex hours Startup environment Team events Travel

Region: North America
Country: United States
Job stats:  14  3  0

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