Full Stack Engineer
What We're Looking For
You like to make great things with passionate colleagues. You are someone that likes to own outcomes, not only inputs. You’re motivated by having responsibility and accountability. You’re eager to ‘do the work,’ big and small. You’re curious and learning about new technologies, perhaps an early tinkerer with ChatGPT and AI products. You show more than you tell. You’re motivated by the question, “How can I improve this?” and have a track record of doing so, even in ways adjacent to your role.
What You'll Do
- You'll be tasked with a wide range of projects. Each engineer has a realm they focus on, but we're still small enough that we don't have the luxury of deep specialization. We're looking for technical generalists that aren’t afraid to dive into a new stack or toolchain if the need arises (but JavaScript and Node.js make up the brunt of the existing codebase).
- Most of the things we work on are parts of the core product (which is an end-to-end pipeline for building computer vision projects spanning from image ingestion to annotation to training and deployment) but from time to time we're also working on things like integrating marketing and sales tools, fighting fires, automating internal processes, and open source projects.
- You'll have a wide degree of freedom to advocate for which projects you think should be highest priority and will contribute to our strategy decisions. If you need a rigid list of tasks spelled out in a multi-month roadmap, this role probably won't be a good fit.
- The majority of our codebase is written in JavaScript, our machine learning and image processing pipeline is in Python. We run primarily on Firebase and GCS, with some machine learning infrastructure on AWS. We're increasingly using Docker (both internally and for customer facing products like our edge inference server). A lot of our code runs in the browser (including some Tensorflow JS) but we're also working on building APIs and client libraries in several languages.
Who You'll Be Working With
You will directly be working with our Engineering Lead and a team of Full Stack Engineers.
Where You'll Work
Roboflow is distributed across the US and Europe. We currently have Hubs in New York City and San Francisco (and plan to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!
When You'll Work
Roboflow primarily operates during the daytime hours in the US and there are some synchronous meetings you’ll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed.
What You'll Receive
- A $4000 Travel Stipend to travel anywhere anytime to work with alongside other Roboflowers.
- A $350 Productivity stipend to spend on things that make your work environment more productive, like high - speed internet at home or a co-working space.
- Coverage of up to 100% of your health insurance costs for you and your partner or family.
- Equity in the company so we are all invested in the future of computer vision and Roboflow.