Full Stack Machine Learning Engineer
Posted on Sunday, June 18, 2023
Who We Are
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.
Our goal is to build a magnetic environment for exceptional talent.
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.
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.
📅 Within one month, you will…
Spend the first week onboarding in person with your manager (you'll come to our NY or SF Hub!)
Start building a trusting relationship with your peers, and learning the company structure.
Ship a substantial new feature to an end user within your first week
Build your first Roboflow computer vision product (if you haven't already)
Improving and expanding the capabilities of the Roboflow Inference Server
Building an ecosystem of add-ons that work closely with the Roboflow Inference Server to enable features like device tracking, active learning, etc.
📅 Within three months, you will…
Ensuring uptime of training and inference infrastructure
Iterating on training infrastructure to provide the best experience for our AutoML users while incurring the least cost for Roboflow
Integrating Autodistill into the Roboflow platform to bootstrap projects with zero shot labeling.
📅 Within six months, you will…
Attend your first all company onsite
Be ramped up on other relevant parts of the Roboflow product.
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
We are currently a team of 30 team members located all over the US and Europe. Our team’s backgrounds range from high school whiz kids that organized a student club, former founders of technology companies and fashion lines, CMOs to CEOs, and have experience scaling businesses to millions in revenue. We want to work with exceptional people with a diverse background. At this early stage, you'll have the ability to work cross-functionally with many members of the team and solve a wide array of problems.
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, San Francisco, Des Moines, and are open to opening more as we grow in different cities. We provide opportunities (like team onsites in different cities) and resources (like a 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, work from home, work at a co-working spaces, etc. We want you to work where you work best!
When You'll Work
Given that we are an remote company and can hire almost anywhere in the world, we don’t have a particular time-zone preference for this role. However, you may need to be available for non-recurring urgent meetings outside of working hours. We have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed. Note: Customer facing roles will skew towards our customer base US timezones.
Career to Senior
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 $165,000 base.
📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:
$2500 Travel Stipend to travel anywhere anytime to work with alongside other Roboflowers
$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
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 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.
[45m] Meet with hiring manager Paul Guerrie for introduction to assess for overall mindset and skillset
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
[45m] Technical Assessment, if applicable
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
Begin working through your 30/60/90 projects
Final Interview Stage:
[30m] 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, apply to 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.
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 blogs.
We want to ensure Roboflow is an environment that suits your working style and empowers you to do your best work.
See our careers page for all open listings.
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 tens of 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.
Our machine learning infrastructure runs in AWS, with a few deployments spanning into GCP. We train and deploy various state of the art models in a variety of machine learning frameworks. All of our machine learning applications are closely integrated with the core Roboflow web application.
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.