Full Stack Machine Learning Engineer

Who We Are

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.

At Roboflow, 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 250,000 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.

Our team is small relative to our impact, and we believe our user success is our success (not the inverse). A team member summarized: “Roboflow is a company full of giant brains and tiny egos.” We find software has a multiplier effect on all roles (not only product and engineering), so Roboflow employs developers across the company in design, sales, customer support, marketing, and beyond.

We’re supported by great customers and investors, having raised over 23 million from Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

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.

Hint: The best way to stand out amongst other applicants is to write about something you have built with Roboflow or contribute to our open source projects.

What You'll Do

On the machine learning team, we primarily work on building and maintaining technology within Roboflow’s training, search and deployment services, but from time to time we're also helping deliver on enterprise contracts, and coding awesome open source projects and sample projects.

In the beginning, you will be tackling projects in close collaboration with your fellow machine learning and product team members. As you progress in your knowledge of Roboflow’s mission and tools, you will have a wide degree of freedom to advocate for and drive your own projects. If you need a rigid list of tasks spelled out in a multi-month roadmap, this role probably won't be a good fit.

We’re especially keen to add some rigor to our processes and build the foundation for scaling the engineering organization and the machine learning team.

You certainly don't need to be an expert in all of these areas; but should be excited to learn new skill sets as you need them. The above tools span code in our machine learning stack to date - your opinions on new technologies that we adapt for new tasks will be highly valued.

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 are essential responsibilities.

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.

Who You Are

Backend: node, Docker, python, Flask, pip, REST Machine Learning: PyTorch, TensorFlow, ONNX, OpenVINO, TensorRT, TFjs AWS: EC2, ECR, ECS, Lambda, Cloud Watch, Batch, S3 Google Cloud: Cloud Functions, Cloud Storage, PubSub, GCE, GKE, Elastic Frontend: Firebase, React, jQuery, HTML, CSS

We anticipate the role being focused 60% on backend, 20% on machine learning, and 20% on other areas.

Who You'll Be Working With

Our team of ~50 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 Machine Learning Lead and a team of Machine Learning 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

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 spaceCover up to 100% of your health insurance costs for you and your partner or familyEquity in the company so we are all invested in the future of computer vision