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Machine Learning Engineering Manager at Vidado
Oakland, CA, US

At Vidado, we build great AI. That’s not just a slogan, it’s the driving force behind everything we do. We source the best talent from around the globe to push the boundaries on what is possible through AI. As a result of this philosophy, we’re able to offer what no other technology company can: AI that reads better than a human. We operate at the intersection of cutting edge technology and business value, and will continue to create practical solutions that bring our customers significant process improvements while redefining what’s possible through automation.

The engineering team at Vidado is looking for a seasoned machine learning expert to lead our team of research engineers. This is a position with high impact, where you'll have the opportunity to collaborate with senior ML engineers, software engineers and product managers to build the next generation of our AI solutions. Our team is a group of problem-solvers who do what it takes to solve challenging problems in machine learning and computer vision.

We've applied deep learning to our dataset of billions of images to build a best-in-class document digitization engine, and we're looking for someone to help build the next generation. If you're excited about solving real-world problems and making an impact on our customers using large datasets and cutting-edge machine learning, this is the position for you.


  • Own the entire machine learning stack, from data curation to research to production to evaluation
  • Manage a team of world-class ML engineers
  • Collaborate with senior machine learning engineers to solve real-world problems
  • Mentor application engineers and junior ML engineers
  • Collaborate with product team and engineering leaders to define ML vision and own ML roadmap
  • Shape machine learning strategy
  • Collaborate with other engineering teams to ship machine learning into production


  • PhD in computer science, machine learning, statistics, data science, or similar field, or equivalent industry experience
  • 3+ years experience developing and deploying machine learning in production systems
  • Strong computer science fundamentals: data structures, algorithms, and distributed systems
  • Strong written and verbal communications skills
  • Experience with deep learning and computer vision preferred
  • Experience with distributed processing systems, cloud-based technologies, specifically AWS is a plus
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