As a senior computer vision engineer on our team, you will be working with cutting-edge technology to deploy real-time computer vision solutions at scale. We are pushing the bounds of existing deep learning technology to deploy real-time CV solutions on embedded devices. You will be working on a variety of machine learning and computer vision problems and deploying models to real-world customers.

We use Tensorflow as our deep learning framework, run distributed training loads in GCP and AWS, and prototype post processing functions in Cython before moving them to C++ for the Edge Computing team. We also do a lot of classical computer vision / robotics, mostly in Python and C++.

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Recent projects for this role include:

• Writing a machine learning pipeline from scratch based on a paper released on Arxiv. Includes the dataset loader, augmentation functions, deep learning model, and loss functions -- the whole nine yards. And that was just a Tuesday.
  
• Helping a junior CV engineer debug a pipeline similar to above
  
• Working on novel labeling methods with data infrastructure to reduce labeling costs while improving model outputs
• Implementing new loss functions or model architectures so cool they would make waves at CVPR, when you deign to eventually share them
• Writing an algorithm to calibrate three depth cameras into the same frame, using information from a deep learning algorithm as points in common, to allow for magical automatic calibration in the wild

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An ideal candidate would:

• Have built or worked on deep learning training pipelines
• Have worked on frame transformations, camera calibration, optical flow, etc.
• Have the ability to quickly hit the ground running and build training pipelines
• Be passionate about AI and is ready to take risks in a fast-paced startup environment

As a senior software engineer on our team, you will have the opportunity to build and deploy the infrastructure necessary for real-time computer vision solutions. You will be exposed to state-of-the-art AI and machine learning pipelines and contribute to the success and scalability of these systems. You will work on multiple pipelines, including internal machine learning tools, health dashboards for on-prem devices, customer-facing dashboards and more.

We use Python for our backend server and pipeline automation scripts, Typescript and React for our web apps, and AWS for all our cloud needs (DynamoDB, Kinesis Data Streams, CloudFront, etc.). Most of our processing happens at the edge so we're building a hybrid system to account for on-prem deployments and cloud access for dashboards.

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Recent projects for this role include:

• Architecting and developing an isolated health infrastructure to monitor our massively distributed platform
• Building a data management pipeline to manage and label terabytes of data for our machine learning team
• Designing a new human pose labeling tool to reduce cost by 50x (and it's now being patented)
• Developing a dashboard to visualize real-time data from our camera infrastructure

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An ideal candidate would:

• Have built or worked on production web applications, including work on the frontend, databases and backend frameworks
• Have the ability to quickly hit the ground running and scaling our infrastructure in a modular fashion
• Be passionate about AI and is ready to take risks in a fast-paced startup environment

As a hardware product manager, you will have the opportunity to lead the design and development of our hardware products that are actively being deployed in major manufacturing facilities. We are looking for agile PM that can wear many hats, including prototyping new designs, assembling and deploying in the field. This role will have immense opportunities to not only influence hardware design but our deployment strategies, including growing a technician and support team.

We currently use a variety of edge AI chipsets (NVIDIA Jetson Nano, etc.) and build + deploy computer vision cameras in industrial environments.

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‍Recent projects for this role include:

• Understanding customer requirements to design and build an industrial-grade camera with edge compute and storage
• Coordinating with a major plant’s maintenance team to install cameras on a running line, including running power and ethernet cables 
• Coordinating with customer engineering stakeholders to understand environmental and safety requirements for deployment, which influence case and mount design 
• Determining trade-offs for requirements such as data storage length and system longevity, camera resolution and system throughput, among many others. ‍

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An ideal candidate would:

• Be flexible with moderate travel requirements, including customer site visits where you will be responsible for overseeing deployments and onboarding
• Be ready to grow and manage a small support team to service our enterprise customers
• Have a working understanding of CAD software
• Have a working understanding of Linux, able to at minimum write simple scripts to write temperature and gauge CPU load, etc. 
• Be able to balance the needs of customers, engineers, sales, and management. No sweat!