Clarifai

(2023 - 2026)

Clarifai was founded in 2013 in New York by Matthew Zeiler, whose convolutional-network research placed in the top five of the ImageNet 2013 challenge. It started as an image and video recognition API and grew into a full-stack AI platform: datasets, labeling and review tasks, workflows, model training and deployment, inference, and later compute orchestration and a reasoning engine for LLM inference. In May 2026 Nebius (NASDAQ: NBIS), an AI cloud company headquartered in Amsterdam, took over Clarifai's core engineering and research team, acquired its patent portfolio covering AI inference and compute orchestration, and received a perpetual non-exclusive license to its modern inference and reasoning stack.

  • At its peak, the company had ~120+ employees and was headquartered in Wilmington, Delaware
  • Offices in San Francisco, Washington, D.C., New York, Tallinn (opened in 2019), Canada and India
  • Raised around $100M: $10M Series A (2015, Union Square Ventures), $30M Series B (2016, Menlo Ventures), $60M Series C (2021, New Enterprise Associates)
  • Customers included Unilever, Ubisoft, BuzzFeed, and medical-device and drone manufacturers
  • A notable focus on the US public sector and defense, including Project Maven

Senior Full Stack Engineer, Data Lifecycle team (2025 - 2026)

Tallinn, hybrid. Go, Python, Postgres, React.

  • Video processing and video streaming (MPEG-DASH)
  • Automatic image-labeling tasks in multi-stage AI workflows (Go / Python)
  • Optimized annotation search with generalized filtering rules (Go + Postgres)

Senior Software Engineer (2023 - 2025)

  • Worked on auto-annotation features
  • Improved video processing: YouTube imports, higher limits, asynchronous processing and playback
  • Supported datasets, labeling/review tasks and workflows
  • Improved DX and CI: reduced PR check time by 50%
  • Improved testing
  • Participated in interviews and on-call rotations

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