We are a fast-moving and passionate team with offices in Berkley and remote outposts.
We are always looking for the right person to join our team. Check out our open positions below.
If you might be a good fit but don't see your exact job listed we'd still be interested in talking to you.
Craft the next generation visual archivist.
Conjur the most elegant schema-less analysis framework ever built to handle bazillions of stunning visual artifacts. Fabricate a real-time, full-text, metadata search and extensible analysis engine that extracts meaningful semantic search information using all those cool new machine learning things everyone is talking about. Deploy at scale using Kubernetes and ElasticSearch to Top-500 enterprise customers. Image processing, computer vision, and GPU programming experience a bonus. Or, perhaps a particularly intriguing tattoo.
Development of core Java/Spring-boot Archivist and Analyst servers.
Dazzle our clients with overwhelming technical love.
Transform their companies from has-been to haz-bees by connecting our shockingly powerful platform to their SQL infrastructure.
Travel onsite to Fortune 500 companies and explain how machine learning and vision algorithms will turn their images into visual money.
Badger our engineers into fixing the right bugs for your famous clients.
If you thought explaining Google Now to your grandmother was easy, you'll love explaining convolutional neural networks to executives. If that junction between sales, marketing and engineering is your comfy space, come here and make it yours.
Send us an email with your resume and let us know a little about you.
Design and train networks to recognize signatures, superpowers and sunsets.
Develop a system where computer vision lives up to its promise of being visionary.
Develop, create and deploy machine learning, computer vision and heuristic algorithms to extract semantic information from scanned images and office documents. Design and train TensorFlow models used to classify document types and extract salient details including company logos, form parsing, statistical data from scientific graphs, facial recognition, segmentation, and sentiment analysis.
MACHINE LEARNING SKILLS
LANGUAGES & SKILLS