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Bringing the Physical World in Focus Using Computer Vision

Computer Vision Engineer (Remote Ok)

$160k – $200k
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About The Company curbFlow is a venture-backed, early-stage startup that is developing the world's first affordable, portable and scalable computer vision (CV) platform operating at the edge (vs the cloud). We use CV to solve real-world problems, starting at the curb where we provide real-time curb info to commercial and delivery drivers. The most critical part of curbFlow’s success is our ability to deploy a large fleet of computer-vision enabled IoT devices at retail merchants who host our devices. These hundreds and soon-to-be thousands of deployed devices will provide a first-of-its-kind network of intelligence for our operators, customers, their drivers, and the merchants they work with. At curbflow, we have and always will be operating in a distributed team environment and we take all necessary precautions to address public health first and foremost.

The RoleWe’re searching for a talented computer vision engineer with a track record of demonstrated high achievement who can take responsibility for the full software development lifecycle, including a) conducting research on the state of the art; b) implementing software modules for our perception stack; c) integrating new tools into our embedded platform

This team member will be responsible for the design and development of all aspects of our perception stack, including object detection, classification, tracking, and localization. The ideal candidate will use a mixture of traditional and DL based computer vision techniques and will have deep expertise in at least one of the technical areas mentioned above

Responsibilities:

  • Design and build computer vision solutions in the areas of object detection and tracking, scene segmentation, scene understanding, and depth estimation
  • Optimize algorithms to run in real-time on edge hardware
  • Build solutions that are robust to camera motion, occlusions, poorly exposed scenes
  • Create critical infrastructure and best practices as we scale our computer vision team
  • Maintain data pipelines critical to testing and training our algorithms
  • Define labeling ontologies and create training, validation, and testing sets across customer sites and weather conditions
  • Develop algorithms, perception software modules and libraries with responsibility for the full software engineering lifecycle: requirements, design, source code implementation, integration, and system test

Qualifications:

  • Masters degree in computer science or relevant field with exposure to classic and modern (Deep Learning based) computer vision techniques
  • 5+ years of professional Python experience/Expertise training, evaluating, and deploying models with a deep learning framework such as PyTorch or Tensorflow, Keras, Caffe or similar libraries
  • Experience working on a team in a Linux environment and targeting embedded deployment
  • Experience with OpenCV or similar libraries
  • Excellent written and verbal communication skills
  • Exceptional analytical skills
  • Demonstrated strong leadership and people skills
  • Must be able to work in a distributed team environment
  • AWS experience with S3, SQS, Lambda, DynamoDB, and EC2
  • Experience with embedded computer vision
  • FOSS libraries/frameworks such as OpenCV, the Point Cloud Library (PCL), and similar packages
  • Sterling references

What we offer

  • Opportunity to shape an early-stage, mission-driven mobility tech company and revolutionize how people and goods move around
  • Live anywhere you want in North America - Speed matters to Scale, so we are building a distributed team of the best talent fast
  • Professional growth at a fast-growing, venture-funded start-up with a proven founder
  • Competitive salary and meaningful equity for early team members
  • Unlimited vacation days
  • Generous health benefits (Health, Vision, Dental)
  • 401k

Healthcare benefit

Generous health benefits (health, vision, dental)

Retirement benefit

401k

Parental leave

Founding team equity

Work from anywhere in n. america

We've been WFA since our founding in 2018

Generous_vacation benefit

Unlimited vacation days

Commuter benefit

Commuter benefits

curbFlow at a glance

Bringing the Physical World in Focus Using Computer Vision

curbFlow focuses on Internet, SaaS, Infrastructure, Transportation, and Software. Their company has offices in New York City, San Francisco, Canada, United States, and Washington DC. They have a small team that's between 1-10 employees. To date, curbFlow has raised $8M of funding; their latest round was closed on September 2020.

You can view their website at https://www.curbflow.com/ or find them on Twitter, LinkedIn, and Product Hunt.

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