Full Stack Machine Learning Engineer at Roboflow

Key Skills

Amazon Elastic Compute Cloud-EC2, AWS, Computer Vision (CV), CSS, Docker, Elasticsearch, HTML, Lambda, Machine learning techniques, PyTorch, React.js, TensorFlow

Job Description

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

Roboflow is a platform for training and deploying computer vision models. Machine learning permeates all aspects of our product, from advanced image annotation tooling to the training pipelines we expose directly to users.

You will be embedded on our Self-Serve team, which is responsible for Product-Led Growth at Roboflow. To be successful we need to make computer vision as accessible as possible to all of our users.

You will play a key role in this growth by adding new model architectures to our training and workflow pipelines, powering user-facing features like Auto Label, and advising our team on ways we can help users make better models. In this role you will wear many hats. Expect to talk with customers, work on open source projects, and have a voice in product direction.

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.

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.

 Within one week, you will…

• Learn all about computer vision, our product, company, customers, and vision.

• Ship something substantial to an end user

 Within one month, you will…

• Onboard in person with your manager (you’ll come to our NY or SF Hub!)

• Build your first computer vision project with Roboflow (if you haven't already)

• Make at-least weekly user-facing ships to production

• Add a new model to our training pipeline

• Participate in your first customer onboarding call

 Within six months, you will…

• Attend your first all company onsite

• Ramp up on other relevant parts of the Roboflow product

• Build architecture that simplifies the process of adding new models to our training and deployment pipelines

• Lead the development of several ML-powered features

• Start helping to shape the product roadmap & priorities

Who You Are

You are an ML tinkerer who wants to see your work used by millions of developers. You have built production ML systems (either as a technical startup co-founder or a core contributor) and have experience working directly with the end-users of your work.

Our tech stack:

• Backend: python, FastAPI, Docker, node, Docker, Elastic
• 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
• Frontend: Firebase, React, jQuery, HTML, CSS

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.

We anticipate the role being focused 40% on machine learning, 40% on backend & infrastructure, and 20% on customer-facing work (onboarding calls, support rotations).

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 highschool 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 $180,000 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 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 (~5 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 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 build something with Roboflow or contribute to one of our open source projects.

Introduction Phase:

• [30m] Introduction with hiring manager

• 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

• [60m] Technical Assessment

Team Interview Phase:

• [45m] Meet with CTO, Brad Dwyer

• [60m] Meet with hiring manager again

• Use this time to review specifics about the job description

• Ask questions!

Final Interview Stage:

• [45m] 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, look into 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.