Software Engineer Intern
•Tacto· 9h
EngineeringInternshipEurope
9h ago
Roboflow·6 months ago
Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.
We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more.
Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.
Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We're curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment.
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).
Example Projects
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.
Our team of ~70 attracts talent like executives that wanted to return to building, founders with a 100M+ exit, Roboflow users turned team members, open source contributors, a cyclist who biked across the United States, prolific high school hackers, a CTO from 100+ engineering organization, amongst many exceptional others.
You will directly be working with our Engineering Lead and a team of Full Stack Engineers.
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!
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.
To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market.
💰 The target compensation for this role is $165,000 base.
📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:
$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
Below is the interview process you can expect for this role. We are all motivated to work with an exceptional team and don't currently have in-house recruiters. You will be speaking directly with our team about what it's like to work and thrive at Roboflow. We like to be decisive and work fast, so don't be surprised if all the below conversations happen over a day or two.
Before the Interview:
We’ll review your application, LinkedIn, Github, etc.
The best way to stand out is to write about something you’ve built with Roboflow or contribute to one of our open source projects.
We may send you a technical screen if applicable.
Introduction Phase:
[30m] Meet with hiring manager for introduction to assess for overall mindset and skillset.
[60m] Technical assessment with a Roboflow engineer.
Team Interview Phase:
[45m] Meet with our CTO, Brad Dwyer
[45m] Meet with hiring manager again - use this time to review specifics about Roboflow and the role. Ask questions!
Final Interview Stage:
[45m] Meet with Kate Wagner, Head of Operations for a culture discussion.
[60m] Meet with Joseph Nelson, CEO.
Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can.
We want a diverse, global team with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, look into our Former Founders role or subscribe to our career newsletter by emailing "Subscribe" to [email protected]. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.
We are building a diverse Satellite team that is distributed across the globe. Roboflow is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences.
We provide competitive compensation and stellar benefits to accelerate your personal and work life. Learn more about what it is like to work at Roboflow by reading these blog posts.
At Roboflow, we believe great ideas come from everywhere—and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.