Machine Learning Engineer

Remote, Seattle, WA, United States, San Francisco, CA, United States • $140k - $200k

Sixgill LLC

Role Locations

  • Remote
  • Seattle, WA, United States
  • San Francisco, CA, United States


$140k - $200k


26 - 50 people


548 Market St # 22409
San Francisco, CA, 94104-5401, US

Tech Stack

  • Go
  • Node.js
  • Kaf
  • Elast
  • Kub
  • Pro
  • React
  • Electron
  • TensorFlow
  • Python
  • PyTorch
  • JavaScript

Role Description

The Sixgill Engineering team is passionate about building the future of IoT and ML. Sixgill has a platform for automating the Collect, Label, Train, Deploy, and Detect loop and making it a virtuous cycle with innovations such as ML assisted labeling and hard example mining from detection confidence. In addition to our platform work, we also help enterprise companies build models from the idea stage.


  • Train machine learning models accurate enough for production use
  • Containerize models for use in our production system
  • Stay up to date on different model architectures

About Sixgill LLC

Sixgill provides an industry-first AI IoT platform for end-to-end machine learning (ML) lifecycle management. The Sixgill Sense platform empowers enterprise executives, data scientists, and ML engineers with one unified system for computer vision and IoT solutions. In one powerful yet easy to use interface, AI/ML teams get integrated tools for device fleet management, machine learning model building with HyperLabel® data annotation, and flexible edge, cloud, on-premise or hybrid deployment. Sixgill accelerates the productionalization and success of AI-powered video, edge and IoT applications at any scale.

Company Culture

We are an all hands on deck team that cares. We will value your ideas, expertise, and leadership. There is very little bureaucracy in the way of getting things done.

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.