What we're looking for
We are looking for a software engineer with experience building and scaling complex distributed systems on the cloud using Python, Go, and/or Kubernetes. You thrive in a fast-paced, start-up environment with a focus on speed, quality, and iteration from proof of concept to release.
We have positions open at multiple levels, from senior and staff to principal and tech lead, all reporting to our VP of Engineering, Luca Antiga. This is an opportunity to create groundbreaking technology that will transform the machine learning ecosystem.
What you’ll do
- Write readable/testable/efficient code in Python and/or Go and master our technology stack to deliver new features, improve system stability, and increase overall performance.
- Partner with engineering and product leaders on developing the platform architecture, and using your experience to inform the technical direction for large-scale projects.
- Evaluate, strengthen, and document technical architecture, tools, and processes.
- Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
- Mentor and coach engineers on system design, operating in high uncertainty, and problem solving to create a supportive, inclusive environment in which each engineer can grow.
How we evaluate your candidacy
Our interviews will not only give us insight into your skillset, but give you insight into our company.
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Introduction- 30 minutes: You will speak with Alex, our Head of People, about your background and what you are looking for in your next role. Alex will share some information with you about our team and the projects you will be involved in. If both parties decide that there is a match, we will proceed with a technical interview.
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Coding - 45 minutes: The first interview will be a coding interview with our VP of Engineering, Senior Engineering Manager, Senior Software Engineer, or CEO, depending on your area of expertise and team availability. We will provide a study guide for each interview, along with instructions on interview logistics and how to use CoderPad, a collaborative platform for coding interviews.
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Technical Interviews - 3 sessions at 45 minutes each: These interviews will cover your domain expertise and systems design. We usually combine this stage with the culture chat (as a virtual onsite); however, we are happy to split them up or provide breaks in between based on your availability and personal preference.
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Culture Chat - 30 minutes: We take time to speak with every candidate about Ethics in AI, our values, and how our technology can be used to create a positive social impact.
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CEO - 30 minutes: William Falcon, our CEO, likes to connect with every person joining our company. Be prepared to talk a bit about what you’ve learned and why you’d like to work with us.
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Offer: We try our best to give you a decision within 24 hours of each interview. At this point, we will present our offer and provide additional context about our stock options and growth trajectory.
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Start Date: Given our early stage, we would like all of our new hires to start within 4 weeks of offer acceptance.