Activeloop

Database for AI

Member of Technical Staff

$150K - $250K0.50% - 1.50%Mountain View
Job type
Full-time
Role
Engineering, Full stack
Experience
Any (new grads ok)
Visa
US citizen/visa only
Skills
Amazon Web Services (AWS), Google Cloud, Kubernetes, MongoDB, PostgreSQL, Python, Redis, SQL, Docker, Microservices
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Davit Buniatyan
Davit Buniatyan
Founder

About the role

We are looking for a Member of Technical Staff with strong Python skills and a passion for building scalable platforms for AI and ML workloads. As MTS, 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 software 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.
  • Partner Cross-functionally: Work closely with ML, frontend and backend 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

  • Deep expertise in Python and modern software frameworks (e.g., FastAPI).
  • Solid understanding of distributed systems, ideally applied to AI workloads
  • Strong knowledge of SQL and NoSQL databases (PostgreSQL, Redis, MongoDB).
  • Experience building RESTful APIs and microservices
  • Demonstrated capability in implementing CI/CD pipelines and DevOps practices.
  • Exceptional communication, collaboration, and problem-solving skills.
  • History of owning complex product features from inception through support.

Ways to Stand Out from the Crowd

  • Hands-on experience with GPU performance optimization, CUDA or Triton kernels, or profiling AI workloads.
  • 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.

This role is open to a range of experience levels. New graduates with strong fundamentals and impressive projects are encouraged to apply

Why Join Activeloop?

Activeloop 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.

About Activeloop

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

Activeloop
Founded:2018
Batch:S18
Team Size:15
Status:
Active
Location:San Francisco
Founders
Davit Buniatyan
Davit Buniatyan
Founder