Jobs · Full-time

Full Stack Engineer at Roboflow - Remote US Role — Columbus

LocationColumbus
CompanyRoboflow
Sourcejobicy
Posted2026-08-22 18:42:05

Traveler-Friendly Insight

Remote-Friendly, But US-Hours Required: Roboflow is fully distributed, which is a great foundation for location flexibility. However, the role explicitly requires availability during US daytime hours for synchronous weekly meetings. This means nomads in Asia-Pacific or Africa may struggle to maintain work-life balance, while those in Europe (UTC+1 to UTC+3) and Latin America are reasonably well-positioned.

Standout Travel Perks: The $4,000/yr travel stipend is specifically designed to fund travel to meet teammates — rare for a startup and directly useful for nomads who can combine team onsites with personal travel. The $350/mo productivity stipend covers co-working spaces, making it easy to work from Lisbon's co-working hubs, Bangkok's digital nomad cafés, or Medellín's thriving startup scene.

Cost of Living vs. Salary ($165k–$195k USD):

  • Lisbon, Portugal: ~$2,500–3,500/mo comfortable living. This salary provides exceptional purchasing power with strong digital nomad infrastructure.
  • Bangkok, Thailand: ~$1,500–2,500/mo. Extremely favorable ratio, though US-hours overlap (UTC+7) means late-morning starts locally.
  • Medellín, Colombia: ~$1,500–2,500/mo. Near-perfect timezone alignment with US East Coast (UTC-5), making this arguably the best nomad base for this role.

Visa Note: Since the role appears US-only based on the location hint, confirm contractor vs. employee status if you're based outside the US. Many fully distributed companies hire internationally as contractors.

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, and 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.

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 — 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 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 seamlessly expand the team).

Example Projects
  • Creating a filtering interface so users can mix and match images based on metadata like time of day, GPS location, or custom tags.
  • Expanding our annotation tool to support new functionality (like polygonal annotations and image segmentation).
  • Integrating the core app with external APIs for outsourcing annotation tasks and analyzing deployed model performance.
  • Streamlining our onboarding flow.
  • Deeper integrations with Roboflow Universe and our REST API.
  • Next-generation model-assisted labeling.
  • Optimizing speed and scalability.
Who You'll Be Working With

Our team of ~120 attracts talent like executives who wanted to return to building, founders with 100M+ exits, Roboflow users turned team members, open source contributors, a cyclist who biked across the United States, prolific high school hackers, a CTO from a 100+ engineering organization, and many other exceptional people.

You will directly be working with our Engineering Lead and a team of Full Stack Engineers.

Where You'll Work

Roboflow is fully distributed. 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 $4,000/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 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

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 – $195,000 base.

In addition to cash compensation, we offer generous perks and benefits. Highlights include:

  • $4,000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers
  • $350/mo Productivity Stipend (high-speed internet, co-working space, etc.)
  • $350/mo AI Tools Stipend
  • $150/mo Team Lunch Stipend
  • $500 one-time Home Office Stipend
  • Up to 100% health insurance coverage for you, your partner, or family
  • Equity in the company
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 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 conversations happen over a day or two.

Introduction Phase:

  • [30m] Meet with hiring manager for introduction to assess overall mindset and skillset.
  • [60m] Technical assessment with a Roboflow engineer.

Build with Roboflow Phase:

  • Build a small project with Roboflow to showcase your technical and product skills.

Team Interview Phase:

  • [45m] Meet with your hiring manager and our CTO to demo your project.

Final Interview Stage:

  • [45m] Meet with Head of Operations for a culture discussion.
  • [60m / Optional] Meet with CEO.
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, 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.

Equal Employment Opportunity

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.

Frequently Asked Questions

Is this role fully remote or do I need to be in New York or San Francisco?
The role is fully remote — Roboflow is a fully distributed company. New York City and San Francisco hubs exist for those who prefer in-person work, and a relocation bonus is available, but remote work is fully supported. A $4,000/yr travel stipend helps you connect with teammates in person.
What timezone do I need to be available in?
Roboflow primarily operates during US daytime hours and requires attendance at some synchronous weekly meetings. Outside of those, the schedule is flexible with asynchronous work supported.
What is the salary range for this Full Stack Engineer role?
The target base compensation is $165,000–$195,000. Salaries are reviewed every six months against market data, and equity in the company is also offered.
What tech stack will I be working with at Roboflow?
The primary codebase is JavaScript and Node.js, with Python used for the machine learning and image processing pipeline. Infrastructure runs on Firebase, Google Cloud Storage, and AWS, with increasing use of Docker and TensorFlow.js.
What does the interview process look like?
The process includes a 30-minute intro with the hiring manager, a 60-minute technical assessment, a take-home build project, a 45-minute demo with the hiring manager and CTO, and a final 45-minute culture discussion with the Head of Operations. An optional CEO meeting may also be included.
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