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

We are looking for an experienced Member of Technical Staff with deep expertise in backend engineering, Python proficiency, advanced software development skills, and proven capabilities in architecting scalable platforms tailored for AI and ML workloads. As a core technical leader, you'll influence strategic decisions, partner closely with the founding team, and play a critical role in shaping Activeloop's AI infrastructure.

What You Will Be Doing

• Architect and Develop: Design and build scalable backend infrastructure optimized for high-performance AI and ML workloads, ensuring robustness and maintainability.
• Lead Feature Development: Own end-to-end delivery of key product features, from initial concept through deployment and support.
• Innovate APIs and Microservices: Define efficient RESTful APIs and microservice architectures tailored to customer-driven use cases.
• Scale Distributed Systems: Implement systems designed for high-throughput, low-latency, large-scale data processing.
• Enhance Scalability: Drive strategic evolution of system architecture to proactively handle future scalability and performance demands.
• Implement CI/CD Pipelines: Develop streamlined CI/CD workflows for rapid testing, deployment, and feature iteration.
• Collaborate with Technical Founder: Directly influence engineering strategy and roadmap decisions through close collaboration with the technical founder.
• Mentorship and Optimization: Mentor engineers, establish development best practices, and continuously improve engineering processes.
• Partner Cross-functionally: Work closely with product team, ML engineers, and frontend, backend, and full-stack engineers to seamlessly deliver features aligned with business objectives.
• Enhance Reliability: Ensure platform reliability and uptime through advanced monitoring, logging, and alerting using modern DevOps tools (Docker, Kubernetes, AWS, GCP, Azure).

What We Need to See

• 10+ years of backend engineering experience with significant contributions to scalable platform development.
• Deep expertise in Python, FastAPI, and modern backend frameworks.
• Proven experience in architecting and scaling distributed systems tailored for AI workloads.
• Strong knowledge of SQL and NoSQL databases (PostgreSQL, Redis, MongoDB).
• Extensive experience in developing RESTful APIs and microservices.
• Demonstrated capability in implementing CI/CD pipelines and DevOps practices.
• History of owning complex product features from inception through support.
• Exceptional communication, collaboration, and problem-solving skills.
• Bachelor's or higher degree in Computer Science, Software Engineering, or equivalent practical experience.

Ways to Stand Out from the Crowd

• Deep interest in or hands-on experience with distributed databases, data lake technologies, and AI agents.
• Proven comfort with ambiguity, rapid iteration, and adaptive decision-making in startup environments.
• Enthusiasm for directly incorporating customer feedback into product development.
• Proactive in anticipating technical challenges and providing innovative solutions.

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.