Full Stack Machine Learning Engineer
Description For Full Stack Machine Learning Engineer
Our mission is to make the world programmable. 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 500,000 developers, including those from half the Fortune 100, use Roboflow's machine learning open source and hosted tools.
As a Full Stack Machine Learning Engineer at Roboflow, you'll be working on building and maintaining technology within Roboflow's training, search, and deployment services. You'll also help deliver on enterprise contracts and contribute to open source projects. This role requires a mix of backend, machine learning, and frontend skills.
Key responsibilities include:
- Improving and expanding the capabilities of the Roboflow Inference Server
- Building an ecosystem of add-ons for the Roboflow Inference Server
- Ensuring uptime of training and inference infrastructure
- Iterating on training infrastructure for AutoML users
- Integrating Autodistill into the Roboflow platform
We're looking for someone with:
- 3+ years of experience in software engineering
- Strong backend skills (node.js, Python, Docker, REST APIs)
- Knowledge of machine learning frameworks (PyTorch, TensorFlow, ONNX)
- Experience with cloud services (AWS and Google Cloud)
- Frontend skills (React, JavaScript, HTML, CSS)
Roboflow offers a flexible work environment with hubs in New York City and San Francisco, as well as remote options. We provide competitive compensation, including a $165,000 base salary, along with benefits such as a $4000 Travel Stipend, $350 Productivity stipend, comprehensive health insurance, and equity in the company.
Join us in shaping the future of computer vision and making a massive impact on how millions of developers experience and use this transformative technology.
Responsibilities For Full Stack Machine Learning Engineer
- Build and maintain technology within Roboflow's training, search and deployment services
- Deliver on enterprise contracts
- Code open source projects and sample projects
- Improve and expand the capabilities of the Roboflow Inference Server
- Build an ecosystem of add-ons for the Roboflow Inference Server
- Ensure uptime of training and inference infrastructure
- Iterate on training infrastructure for AutoML users
- Integrate Autodistill into the Roboflow platform
Requirements For Full Stack Machine Learning Engineer
- Experience with backend technologies: node, Docker, python, Flask, pip, REST
- Knowledge of Machine Learning frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TensorRT, TFjs
- Familiarity with AWS services: EC2, ECR, ECS, Lambda, Cloud Watch, Batch, S3
- Experience with Google Cloud services: Cloud Functions, Cloud Storage, PubSub, GCE, GKE, Elastic
- Frontend skills: Firebase, React, jQuery, HTML, CSS
- 3+ years of experience
- Willingness to learn new technologies
- Ability to work on backend (60%), machine learning (20%), and other areas (20%)
Benefits For Full Stack Machine Learning Engineer
- $4000 Travel Stipend
- $350 Productivity stipend
- Coverage of up to 100% of health insurance costs for you and your partner or family
- Equity in the company
