We're on a mission to remove barriers that prevent developers from building their own computer vision applications. Roboflow streamlines the process of labeling, training, and deploying a computer vision model.
Computer vision is going to transform every industry. We're already seeing this play out in fields like transportation (self driving cars), agriculture (drone spraying), and medicine (early stage cancer detection). But these superpowers shouldn't be locked up in the handful of giant technology companies that can afford to hire teams of machine learning PhDs.
Roboflow enables any developer to use computer vision without being a machine learning expert. Our product is the key missing infrastructure that allows developers turn raw images into a useful model -- replacing a sprawling list of one-off utils everyone previously had to reinvent and enabling our users to have working models in hours, not weeks.
For example, Sarah Hinkley from Barn Owl Drones uses vision to identify weeds from crops in drone images so her customers can use fewer herbicides and grow more. She's one of our over 50,000 users working on problems we couldn't even imagine when we got started!
Today, Roboflow has eight full-time team members spread across the United States. Their roles range from machine learning to sales. We also have a high school software development intern, and a part-time employee researching our new signups. Kelo, Amanda's dog, is the best at frisbee among us.
We're united in our common goals to create high quality products and place our users first. Since we're a small upstart, that means building things really quickly and fixing bugs right away. As with any rapidly scaling startup, we hope to build a team that is both versatile and adaptable. This role has tremendous potential for growth. As such, we believe that coachability and enthusiasm are more important than experience or qualifications. If you’re excited about this opportunity, we want to hear from you.
We strongly encourage applicants from backgrounds that are traditionally under-represented in tech to apply - especially those who identify as Black, Latinx, Native American, Asian and/or LGBTQ+. People who identify as part of these groups have also been under-represented at Roboflow, but intentionally recruiting a team with unique backgrounds is one of several ways we are working to add more distinct viewpoints to our company.
Roboflow went from zero to over 20,000 users in 2020 (and now to over 50,000 in 2021) and our customers are requesting features and product enhancements faster than we can provide them.
We're starting to build out our engineering, marketing, and sales teams. As an integral part of our core team, all roles will inevitably involve wearing a lot of hats; we're specifically looking for people excited about learning new things and filling gaps where needed. And most importantly, we're looking for people who ship.
Check out our Careers page for more info on the company, how we work together, and how we're building strong culture and camaraderie in a post-COVID world.
Roboflow is the fastest way to use computer vision in production. Over 100k engineers build with our tools. Helping our users get the most out of Roboflow is essential to their success.We’re hiring our second Sales Engineer to partner closely with our sales team and drive new customer wins. You’ll have an immense impact on shaping the future of not only this role, but our company. A large portion of the Roboflow sales process is technical, ensuring customers understand how to incorporate computer vision into their products. Building successful relationships with our potential customers -- many of whom are engineers -- as well as showcasing what the Roboflow product is capable of is a key component of the role, so you will leverage both your engineering background and user-facing mindset to be successful.
What You’ll Do
Because our customers use computer vision in so many different industries (accelerating cancer research, improving manufacturing processes, enabling automated checkout, and so much more), your workday will always include an engaging variety of challenges. You will work with sales on delivering demos, building proofs of concepts and prototypes with prospects, and in answering technical questions, assisting in closing deals. You will use your knowledge gathered through sales motions and work with our Customer Success team to determine ways to best drive adoption and successful implementations of computer vision within their products. You will also contribute to the post-sales process (Customer Engineering) in an engineering capacity to ensure our customers are successful throughout their journey with Roboflow. We don’t just stop at signature and onboarding. We want our customers to be life long partners with Roboflow and ensure they are receiving the ROI they envisioned when they first signed on. If you think, “I’m an engineer that loves sharing my work with others,” you’d be in great company in this role.
Who you’ll work with
As an early first Field engineer hire, you’ll be partnering directly with our co-founder/CEO, Sales leadership and Customer Success leadership to not only do great work in the role, but shape how this function works for the future of Roboflow.
In this role, you’ll:
The skillset you’ll bring:
Our goal is to build the world's best computer vision infrastructure so our users don't have to. This means we handle a lot of challenging complexities like seamlessly ingesting dozens of data formats, processing millions of images per day, and deploying auto-scaling machine learning infrastructure that can handle our customers' most demanding training and deployment needs.
Our core app sits atop Firebase with assistance from auto-scaling groups of Docker containers (for jobs like archiving datasets and training models). We also heavily lean on serverless infrastructure so we can gracefully deal with bursty traffic involved in manipulating datasets that can range anywhere from one hundred to one million images.
We also maintain a library of Colab notebooks our customers can use to train common computer vision models, a directory of public datasets, and a web of format specifications. We see building and supporting mini-projects like these that are helpful to the community at large as part of our role in democratizing computer vision.