Machine Learning Lead at Roboflow (S20)
$250K  •  
🖼️ Give your software the sense of sight.
San Francisco, CA, US / New York, NY, US / Remote (US)
Full-time
3+ years
About Roboflow

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.

Why

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.

What

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!

Who

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.

Growth

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.

Learn more about us on our careers page (https://roboflow.com/careers).

About the role

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

Primarily, you like to make great things with passionate colleagues. You are someone that likes to own outcomes, not only inputs. You’re motivated by having responsibility and accountability. You’re eager to ‘do the work,’ big and small.

You’re curious and learning about new technologies, perhaps an early tinkerer with ChatGPT and AI products. You show more than you tell.

You’re motivated by the question, “How can I improve this?” and have a track record of doing so, even in ways adjacent to your role. Much of our current team is made up of former founders and thrive in the level of autonomy at Roboflow. Maybe you had a side hustle in high school or college.

Many Roboflowers have used our tools before joining. One of the best ways to stand out amongst other applicants is to write about something you have built with Roboflow or contribute to one of our open source projects.

What You'll Do

In this role you will lead Roboflow’s Machine Learning Team which is responsible for three core things: Driving adoption of inference, our open source computer vision deployment product, via new features, improved developer experience, and increased awareness.

Working alongside the core team to build, expand, and support the ML capabilities into our core platform (for semantic search, interactive segmentation, training, and more).

Pulling forward the future of computer vision via content and research in areas like datasets, models, and prompting.

You will have broad latitude and resources to drive outcomes & your core metrics. This role is intended to be a barrel, not ammunition.

You’ll be tasked with setting a vision, charting a roadmap, executing against your goals, writing code, being a resource and mentor for your team, talking to customers, and collaborating cross-functionally. You’ll be the directly responsible individual for the ML team’s output and metrics.

Every week is different and things will ebb and flow (and you’ll be trusted to choose your own loss function), but in a typical week your time may be spent 40% on coding, 20% on product management, 20% on people management, 10% on evangelism and working directly with customers, and 10% on recruiting.

The ML team currently consists of two exceptional Machine Learning engineers that you will lead. We will be expanding investment in this team over the course of the year and you will shape that expansion.

📅 Within one week, you will…

  • Learn all about our product, company, customers, and vision.
  • Onboard in person with our founders at our SF hub.
  • Begin weekly 1:1s with members of the ML Team.
  • Get ramped up in our codebase & become familiar with our architecture and backend.
  • Ship something substantial to an end user.

📅 Within one month, you will…

  • Build your first computer vision project with Roboflow (if you haven't already)
  • Be fully ramped up in the codebase & lead your first major initiative.
  • Meet several customers & start leading our weekly inference user sessions.
  • Take over responsibility for the ML Team’s metrics & roadmap.

📅 Within three months, you will…

  • Add the first new ML Engineer to your team.
  • Deliver an important new tent-pole feature or product.
  • Be the primary owner of the ML Team’s core metrics.
  • Participate in quarterly planning & chart a course for the next few months.
  • Develop a vision, strategy, and plan for the future of ML at Roboflow.

📅 Within six months, you will…

  • Execute against the goals, roadmap & plans.
  • Attend your first all company onsite.

Who You Are

You are an experienced machine learning practitioner who wants to be an important part of an exceptional team that focuses on using Roboflow's computer vision tools to impact and improve every industry. You have high agency and a bias toward action.

You should be both technically proficient and have experience leading a team. You have a strong, informed opinion on the future of computer vision and machine learning, are innately curious, a strong first-principles thinker, and thrive in unstructured environments. You inspire intensity in your team.

You love building things people want, seeing your software get adopted at scale, interacting directly with customers, staying on the forefront of machine learning (and connecting with others who share that passion), and thinking big.

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+ person engineering organization, amongst many others.

You will work directly with our CTO and a team of machine learning engineers, alongside the rest of our 15-person product/engineering team, and amongst highly capable sales, marketing, field engineering, and ops teams (including many other engineers embedded in those teams).

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!

Given this role’s need for tight integration with the AI/ML ecosystem, we anticipate frequent travel or relocation to SF for this role (and offer a relocation bonus).

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 6 months to ensure we stay in line with the market.

💰 The target compensation for this role is $250,000 + equity.

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

  • A $4000 Travel Stipend to travel anywhere anytime to work with alongside other Roboflowers.
  • A $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.
  • Coverage of 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 and Roboflow.

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 operations[at]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 these blog posts.

See our careers page for all open listings.

Technology

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.

Interview Process

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.

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 the CTO for introduction to assess overall mindset and skill set

  • 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

[90m] Take-Home: We will have you build something with Roboflow

[30m] Followup to present your project & talk through the code aspects & your product thoughts.

Team Interview Phase:

[30m x 3] Meet with other members of the team

  • 1x Peer Technical Lead
  • 2x ML Engineers on your team

Technical Assessment:

[90m] Coding Session

  • We will build something together

Final Interview Stage:

[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!

[45m] Meet with Kate Wagner, Head of Operations for a culture discussion

[60m] Meet with Joseph Nelson, CEO and Co-Founder

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.

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