Full Stack Engineer

Key Skills

AWS, Data pipelines, Docker, Github, GitLab, HTML, JavaScript, MongoDB, Node.js, NumPy, PowerBI, R Programming

Job Description

Who We Are

Roboflow is a venture-backed SaaS startup that empowers innovators all over the world to build, train, and deploy computer vision models. Roboflow believes that computer vision is a foundation technology that will transform nearly every industry. We currently have over 250,000 users, including half of the Fortune 100. Roboflow has enabled our customers to accelerate cancer research, conduct experiments in space, accelerate the world’s transition to green energy, and improve the retail experience (to name a few!) with world-altering technology. Investors like Y Combinator, David Sack’s Craft Ventures, Lachy Groom, the founders of OpenAI (Sam Altman and Greg Brockman), and many others back Roboflow.

As with any rapidly scaling startup, we hope to build a team that is both versatile and adaptable. Each role has tremendous potential for growth. As such, we believe that coachability, enthusiasm, and an entrepreneurial mindset are more important than experience or qualifications.

Our goal is to build a magnetic environment for exceptional talent.

What We're Looking For

We’re looking for people that can own a large set of problems and are motivated by the question, How can I improve this? Over 80% of our current team is a former founder and they love working at Roboflow because they get to work autonomously and build solutions from the ground up (but you don't have to be a former founder to thrive at Roboflow!). Roboflow is still early stage and each department runs a startup within itself that defines a problem, works with our customers, builds ideal solutions, and adapts quickly to changes.

We’re looking for strong technical generalists to contribute to our core product and help us build the foundation for our rapidly expanding company.

As an integral part of our early team, this role will inevitably involve wearing a lot of hats. Wide-ranging curiosity and enthusiasm for diving into abstract problems, coming up with good solutions, and seeing them through to completion is essential.

Our core belief is that computer vision is a foundational technology that is going to transform nearly every industry. This is an opportunity to shape how millions of developers will experience and use it for the first time. Your contribution will have a massive impact.

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.

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).

 Within one month, you will…

Spend the first week onboarding in person with your manager (you'll come to our NY or SF Hub!)

Start building a trusting relationship with your peers, and learning the company structure.

Ship a substantial new feature to an end user within your first week

Build your first Roboflow computer vision product (if you haven't already)

 Within six months, you will…

Attend your first all company onsite

Be ramped up on other relevant parts of the Roboflow product.

Who You'll Be Working With

We are currently a team of 30 team members located all over the US and Europe. Our team’s backgrounds range from high school whiz kids that organized a student club, former founders of technology companies and fashion lines, CMOs to CEOs, and have experience scaling businesses to millions in revenue. We want to work with exceptional people with a diverse background. At this early stage, you'll have the ability to work cross-functionally with many members of the team and solve a wide array of problems.

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, San Francisco, Des Moines, and are open to opening more as we grow in different cities. We provide opportunities (like team onsites in different cities) and resources (like a 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, work from home, work at a co-working spaces, etc. We want you to work where you work best!

When You'll Work

Given that we are an remote company and can hire almost anywhere in the world, we don’t have a particular time-zone preference for this role. However, you may need to be available for non-recurring urgent meetings outside of working hours. We have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed. Note: Customer facing roles will skew towards our customer base US timezones.

Level

Senior+

What You'll Receive

To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every 6 months to ensure we stay in line with the market.

 The target compensation for this role is $165,000 base salary

 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:

$2500 Travel Stipend to travel anywhere anytime to work with alongside other Roboflowers

$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

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

Interview Process (~6 hours)

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 recruiters at Roboflow. You will be speaking directly with our team about what it's like to work and thrive at here. We like to work fast at Roboflow, so don't be surprised if all the below conversations happen over a day or two.

Introduction Phase:

[45m] Meet with hiring manager for introduction, Thomas Hansen, to assess for overall mindset and skillset

This first interview is a time to get to know more about the role, allow us to get to know you better, and ensure it's a good fit for both parties to continue moving forward in the process

[45m] Technical Assessment, if applicable

Team Interview Phase:

[45m] Meet with our CTO, Brad Dwyer

[60m] Meet with hiring manager again

Use this time to review specifics about the job description

Begin working through your 30/60/90 projects

Ask questions!

Final Interview Stage:

[30m] Meet with Kate Wagner, Head of Operations for a culture discussion

[60m] Meet with Joseph Nelson, CEO

We check references and conduct a background check

Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can.

Not sure if this is you?

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, apply to our Former Founders role or subscribe to our career newsletter by emailing Subscribe to operations@roboflow.com. 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.

Learn More About Us

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 blogs.

We want to ensure Roboflow is an environment that suits your working style and empowers you to do your best work.

See our careers page for all open listings.

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.