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

Compensation

$140k - $200k

Employees

26 - 50 people

Address

312 Arizona Ave
Santa Monica, CA, 90401-1306, 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.

Responsibilities:

  • 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 offers an end-to-end solution for the enterprise to manage machine learning deployments and data in real-time from the edge to the data center. We automate the Collect, Label, Train, Deploy, and Detect machine learning lifecycle with our Sense and HyperLabel products that make machine learning viable in the enterprise. Unlike other product only companies, Sixgill also builds models for clients for a wide variety of use cases and problem domains.

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?
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