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Full-stack engineer

About
:
At BaseTen our mission is to increase the value delivered with machine learning. Our first act is a comprehensive toolset that enables data scientists and engineers to build high-performance, user-centric applications with their machine learning models. These superpowers are already resulting in more models seeing the light of day and delivering value, as opposed to being abandoned in a Jupyter notebook.

We’re a small and intellectually diverse group of engineers and designers who are passionate about building thoughtfully designed software and having fun while doing so. We're backed by top-tier investors and prominent angels with a few years of runway.

What we’re looking for
You demonstrate fluency with one or more general purpose programming languages, including but not limited to: Python, Ruby, Javascript, or Go
You have experience with JavaScript, HTML, and CSS; bonus points if you have experience with React + TypeScript
You have experience building scalable backends with modern web frameworks like Django, Rails, or Node
Bonus points: experience with machine learning, either from a model development or operationalization perspective

You’re a good fit if you
Can own products and projects end-to-end; engineers and designers at BaseTen also function as PMs, so we’d like everyone on the team to be able to empathize with our users, understand/write project specs, and manage the end-to-end execution of features
Are comfortable with navigating ambiguity and enjoy the journey as much as the destination
Are motivated by customer problems and find joy in creating simple, elegant solutions that avoid unnecessary complexity
Exercise good judgement on tradeoffs and tools needed to solve the problem and don’t over index on trendy/fashionable tech unless it’s the right tool for the job
Demonstrate pride, ownership, and accountability for your work and expect the same from your teammates

Our current tech stack
Backend — Python + Django + Postgres + Redis
Frontend — React + TypeScript + GraphQL
Infrastructure — AWS + Kubernetes + Kubeflow + KFServing + Knative
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