We provide a simple API for creating, storing, versioning, and collaborating on multi-modal AI datasets of any size. With Activeloop's open-core stack, you can rapidly transform and stream data while training models at scale. Deep Lake powers foundational model training by acting as a vector database with significant benefits, such as (1) the ability to use multi-modal datasets to fine-tune your own LLM models, (2) storing both the embeddings and the original data with automatic version control, so no embedding re-computation is needed (3) truly serverless service with no vendor lock-in. How cool is that?

GitHub loves us - we're one of the fastest-growing libraries there, and we're used by little-known companies like Google, Waymo, and Intel. No big deal.

Our founding team hails from places like Princeton, Stanford, Google, and Tesla, and we're backed by Y Combinator & other Silicon Valley heavyweights.

Activeloop is hiring, and we want you! Check out our open roles on our YC page and join the fun.

10-min demo: https://activeloop.wistia.com/medias/aibvo0dst2 Whitepaper: https://www.deeplake.ai/whitepaper

At Activeloop we are transforming the way organizations harness their data for AI with our Deep Lake and Multi-modal AI Search. Whether you're answering critical clinical questions or searching across vast repositories of scientific papers, we empower you to index, search and organize billions of documents, images, and videos intuitively using natural language powered by Large Language Models. Join us in making data more accessible and actionable than ever before.

We are looking for an experienced Backend Engineer with deep expertise in Python, equipped with advanced engineering skills and a proven track record in building scalable platforms.

What You Will Be Doing

• Architect and Develop : Build robust backend services and platforms that are secure, scalable, and maintainable.

• Innovate APIs and Microservices : Design and optimize RESTful APIs and microservices for peak performance and scalability.

• Scale Distributed Systems : Implement and operate distributed systems that handle massive amounts of data seamlessly.

• Ensure Code Excellence : Uphold exceptional code quality through unit testing, code reviews, and best software development practices.

• Collaborate Cross-functionally : Work closely with full-stack and frontend engineers, and product managers to deliver innovative solutions.

• Optimize Performance : Analyze system performance and implement enhancements for improved scalability and reliability.

• Deploy with Modern Tools : Utilize Docker, Kubernetes, and cloud services on AWS, GCP, or Azure to deploy and manage applications.

• Enhance Reliability : Implement advanced monitoring, logging, and alerting solutions to ensure platform reliability and maximum uptime.

What We Need to See

• 7+ years of relevant industry experience with a proven track record in backend platform development.

• Deep proficiency in Python and the Fast API framework.

• Extensive experience in designing and operating distributed systems at scale.

• Solid understanding of both SQL and NoSQL databases like PostgreSQL, Redis, and MongoDB.

• Expertise in building and consuming RESTful APIs and working with microservices architectures.

• Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure.

• History of owning product delivery from inception through support.

• Excellent teamwork and communication skills.

• Bachelor's degree in Computer Science or a related field (or equivalent experience).

Ways to Stand Out from the Crowd

• Highly motivated and deeply curious about AI and machine learning.

• Passionate about creating impactful solutions that push technological boundaries.

• Excited to work closely with the founding team in developing hyper-scalable software for machine learning.

• Ability to anticipate challenges and proactively provide effective, tangible solutions.

• Eager to be part of the startup journey, contributing to building an enduring and scalable business.

Please clearly indicate in your application where you heard about this job opportunity.

Why Join Activeloop?

Activeloop Deep Lake is at the forefront of transitioning from traditional software to AI, accelerating AI deployment across various industries. Our products empower advanced LLMs, generative models, and computer vision models. Trusted by industry leaders we are expanding our team to further advance AI applications. We pride ourselves on being an inclusive, equal opportunity workplace, committed to diversity and accessibility for all applicants.

We are building Deep Lake, the Data Lake for Deep Learning https://github.com/activeloopai/deeplake

The landscape of computation resources across different special hardware and cloud providers is becoming increasingly fragmented.

We're building a platform that unifies and abstracts away infrastructure for easier and highly efficient machine learning and deep learning.