As a Senior Engineer at Nomic, you will work on the Atlas product to develop, deploy, and scale automated methods. These methods will enable users to collaboratively explore and build with unstructured data at massive scale, driving data-driven insights and AI workflows. What You'll Do:
- Architect and scale the backbone of Atlas to be resilient, well-crafted, and future-proof.
- Innovate new ways to interact with embedding spaces, pushing the boundaries of what's possible in AI-driven exploration.
- Engineer and optimize algorithms that can seamlessly process hundreds of millions of data points-whether they're text, images, or embeddings like scaling our interactive map of Wikipedia (yes, we think it's tiny!) to encompass even larger datasets: Atlas - Wikipedia Map
- Collaborate with platform engineering to deliver new features that empower our enterprise clients, making Atlas the go-to tool for business solutions.
Who You Are:
- You're passionate about building robust, scalable distributed systems that just work-no matter the challenge.
- You thrive in fast-paced environments, quickly absorbing complex topics and turning them into actionable, buildable solutions.
- You're a full-stack expert with deep experience in Python, FastAPI, and NextJS.
- Cloud infrastructure isn't just a tool for you-it's an ecosystem you navigate effortlessly, particularly within AWS.
Ideal Candidates:
- Proficiency in classical machine learning and deep learning techniques.
- A proven track record of building, deploying, and maintaining machine learning systems.
- Experience architecting for multi-cloud environments.