Data Scientist (Computer Vision)
One Concern Palo Alto, CA, USA Competitive Long term Any
About One Concern

One Concern is a Palo Alto-based benevolent artificial intelligence company with a mission to save lives and livelihoods before, during, and after disasters. Founded at Stanford University, One Concern enables cities, corporations and citizens to embrace a disaster-free future, through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world.

Job Description

One Concern is growing rapidly and we are looking for a passionate and motivated Data Scientist (Computer Vision) to join our team. In your role, you will join our ongoing efforts in creating high-resolution and multi-faceted datasets about cities that we are deploying our products in. These datasets improve the accuracy of our modelling of live and future natural hazards, help governments make important data-driven decisions about evacuation and mitigation, and enable our services to be deployed anywhere in the world.

Daily responsibilities to include:

  • Training deep learning based computer vision models that estimates socio-economic and built environment characteristics of different city blocks from overhead and street-level imagery
  • Creating replicable and scalable microservices that trains, updates and runs models, ingests satellite data, and renders usable data products for downstream consumption
  • Extracting image frames from street-level videos and creating a labeling task on crowdsourcing platforms like Amazon Mechanical Turk
  • Brainstorming about new datasets and methods to improve our knowledge of cities that deploy our services

Requirements

Must-haves

  • We love to hear what you have done, even if it’s not for work! We want to see that you understand the challenges of building a machine learning/deep learning pipeline (bonus if it’s computer vision-related), from data ingestion to processing to training and finally to evaluation
  • There are many libraries out there, but you should have experience in at least one of the following: Tensorflow, Keras, PyTorch, Torch, MXNet, Torch
  • You know how convolutions, gradient descent and backpropagation work. You could have learned this online, in school, or wrote papers about them
  • You enjoy creative and structured problem solving. You like the challenge of working on complex challenges, and are capable of breaking a larger problem into sizeable, edible chunks to work on

Bonus points if you have

  • Experience working with Amazon Web Services and/or Google Cloud Platform
  • Experience working with Docker and/or Kubernetes
  • Knowledge of the differences amongst the alphabet soup of neural network architectures, from GoogLeNet to NASNet
  • Experience applying latest advances in deep learning and computer vision research to real-world problems
  • Participated and won Kaggle and other open data science challenges, especially computer vision related competitions
  • Professional experience working in engineering teams, and with tools like Git, JiraComfortable with HTML, CSS and Javascript
  • Professional experience in 3 or more programming languages like Python, C++, Scala, Go

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