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Tangram makes it easy for programmers to train, deploy, and monitor machine learning models. With Tangram, programmers can train models and make predictions on the command line or with libraries for languages including Elixir, Go, JS, PHP, Python, Ruby, and Rust, and learn about their models and monitor them in production from a web application.
Tangram is open source and everything is written in Rust, from the core machine learning algorithms to the web application.
We are looking for strong Rust programmers who love the Rust programming language and either have machine learning experience or are interested in learning machine learning.
Here are some projects you might work on: * Design and implement the SDK for training a machine learning model in Tangram's language libraries. * Add support for A/B testing multiple versions of a machine learning model. * Add support for training new model types including time series forecasting. * Add automated alerting for statistical data drift detection by implementing Chi-Square or Kolmogorov–Smirnov tests.
Tangram is founded by former MIT, Facebook and Slack engineers. We recently raised a seed round from Kleiner Perkins and our angel investors include the creator of NextJS, the founder of GitHub, and the CEO of Slack.
We are looking to grow our current team of 3 to 6 in the next couple of months and are open to programmers working remotely from anywhere in the US.
If you want to learn more, head to https://tangram.dev/jobs
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Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.