
Backend Engineer - Orchestration (U.S. Only)
Labelbox’s mission is to build the best products for humans to advance artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Our training data platform enables organizations to improve their machine learning models more quickly and accurately. We are determined to build software that is open, easier-to-use, and singularly focused on getting our customers to performant ML faster.
Current Labelbox customers are transforming industries across insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, John Deere, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Kleiner Perkins.
About the Orchestration Team
Data labeling is an essential part of the development of Artificial Intelligence (AI). Labeled data is how we teach machine learning models (how we develop AI) to understand the real world. For example, in order for a model to recognize single cell organisms in a microscope's image of a petri dish, it must first be trained on labeled single cell organisms from other petri dishes. The model's ability to identify new single celled organisms (performance) is closely tied to the quality and quantity of the labeled data from which it was trained.
The mission of the Orchestration team and product is to significantly improve the world's access to AI technology by increasing the efficiency of labeling data by an order of magnitude. We are about halfway there in our first three years. The second half will require further development in data workflows, automation, novel quality algorithms, collaboration systems, among many other advancements yet to be conceived.
About the Role
As a backend engineer, you will work with fellow engineers and product managers to drive high leverage projects that align with the company’s goal. You will be expected to utilize the full range of design, modeling, and execution skills to create scalable, useful, and performant systems for our products and customers.
About You
You have 2+ years of hands-on experience building complex, scalable web applications.
You have an outstanding ability to write clean, fast, reliable, and highly scalable software.
You are a product minded engineer who understands the what and why of the product.
You have a passion for modern backend technologies, API frameworks, and building state of the art, performant, backend systems that manage large quantities of data.
You have an ability to own projects from design to implementation and communicate well across teams of developers and other stakeholders in a fast-paced environment.
You have experience and interest in our focus areas and development tools:
- Proficiency in writing modern server-side JavaScript (ES6 or greater), TypeScript, or equivalent backend experience and interest.
- Experience designing modern API’s using REST, Apollo GraphQL, or similar.
- Experience with modern backend web frameworks such as node.js, express.js, nest.js or similar.
- Experience designing tests across layers of the testing pyramid, e.g. unit, integration and end to end.
Nice To Have
Best practices knowledge around designing scalable distributed systems.
Experience with the design, configuration, tuning, and management of ELK/ Elasticsearch systems or similar.
Experience in Java.
Knowledge of or interest in machine learning principles.
An interest in product-driven development and building useful end to end experiences for users in machine learning
Do great work. From anywhere.
We hire great people regardless of where they live. Work wherever you’d like as reliable internet access is our only requirement. We communicate asynchronously, work autonomously, and take ownership of our work.
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