Summary
Roboflow is dedicated to making the world programmable through artificial intelligence, focusing on simplifying the building and use of computer vision models. The Full Stack Engineer will work on a variety of projects, contributing to the core product and collaborating with the engineering team to enhance internal processes and external integrations.
Responsibilities
- 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
- You certainly don't need to be experienced in all of these areas; but should be excited to learn new skill sets as you need them
- We also hope you'll bring some new knowledge and experiences you can share to help level-up the rest of the team
- We’re especially keen to add some rigor to our processes and build the foundation for rapidly scaling the engineering organization (for example: we currently have limited tests and are not using an opinionated front-end framework -- things that will need to change over the coming months in order to be able to seamlessly expand the team)
- Creating a filtering interface so our users can mix and match their images based on metadata like the time of day they were captured, the GPS location, or custom tags they've applied
- Expanding our annotation tool to support new functionality (like polygonal annotations image segmentation)
- Integrating the core app with external APIs for things like outsourcing annotation tasks and analyzing deployed model performance
- Streamlining our onboarding flow
- Deeper integrations with our other products like Roboflow Universe and our REST API
- Next-generation model assisted labeling
- Optimizing speed and scalability
Skills
- Experience with JavaScript and Node.js
- Familiarity with Python for machine learning and image processing
- Experience with Firebase and Google Cloud Storage (GCS)
- Knowledge of AWS for machine learning infrastructure
- Experience with Docker
- Ability to work on both front-end and back-end development
- Willingness to learn new skill sets as needed
- Ability to advocate for project priorities and contribute to strategy decisions
- Experience with building APIs and client libraries in multiple languages
- Experience with limited testing and front-end frameworks
- Ability to work collaboratively in a remote and distributed team environment
Qualifications
Must Haves
- Experience with JavaScript and Node.js
- Familiarity with Python for machine learning and image processing
- Experience with Firebase and Google Cloud Storage (GCS)
- Knowledge of AWS for machine learning infrastructure
- Experience with Docker
- Ability to work on both front-end and back-end development
- Willingness to learn new skill sets as needed
- Ability to advocate for project priorities and contribute to strategy decisions
- Experience with building APIs and client libraries in multiple languages
- Experience with limited testing and front-end frameworks
- Ability to work collaboratively in a remote and distributed team environment
Benefits
- $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers
- $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space
- Cover 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