Software Engineer

Reposted 8 Days Ago
2 Locations
In-Office or Remote
150K-250K Annually
Senior level
Machine Learning • Software
The Role
Develop and enhance Metaflow, an open-source ML framework, enabling enterprises to adopt data science and ML projects effectively.
Summary Generated by Built In

We are building Metaflow (which we started at Netflix) - an open-source, human-centric ML framework that helps data scientists and ML engineers develop and deliver real-life ML projects. Besides Netflix, thousands of enterprises like 23&Me, Adobe, Amazon, Goldman Sachs, Porsche, Sanofi, and Zipline have already adopted Metaflow.

In this role, you will help us develop our product that helps enterprises to adopt and benefit from Metaflow. This is a great opportunity for senior engineers who value thoughtful product design.

What we are looking for

  • Years of experience in contributing to non-trivial infrastructure projects.

  • Understand how Unix-like operating systems work internally.

  • Understand the performance characteristics of computers in general: How to make things slow vs. fast.

What to expect 

  • Meaningful Work: Your team directly enables and accelerates the innovation of data science, machine learning, and artificial intelligence. 

  • Impact: You will shape the future of an industry. 

  • Freedom & Responsibility: Our roles are not circumscribed, so we have the freedom to use our judgment to make Outerbounds better without permission. 

  • Inclusivity: We embrace different backgrounds, perspectives, and styles because it helps us make better decisions. 

  • Stunning Colleagues & Top-of-Market Compensation: You will be part of a high-performance team.

We encourage people from all backgrounds to apply.  We are well-funded and backed by top-tier venture capital firms, including Greenoaks Capital, Foundation Capital, and Amplify Partners.

The expected compensation range for this position is $150k - $250k + equity + benefits. We aim to offer top-of-market compensation for a company of our size and communicate equity amounts at the time of offer issuance.

If this excites you, we would love to talk to you!

Top Skills

Ml
Unix-Like Operating Systems
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The Company
HQ: San Francisco, CA
20 Employees
Year Founded: 2021

What We Do

Building the modern, human-centric ML infrastructure stack.

Join the journey at slack.outerbounds.co

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