Senior Python ML Engineer

Activeloop is revolutionizing AI data management with their Deep Lake and Multi-modal AI Search solutions. As a Senior Python ML Engineer, you'll be at the forefront of developing sophisticated machine learning pipelines and algorithms that power their innovative database for AI.

The role demands expertise in machine learning, large-scale data systems, and deep learning. You'll be responsible for designing and implementing robust ML pipelines, optimizing algorithms for semantic understanding and retrieval performance, and integrating cutting-edge data storage solutions. Working with Deep Lake, you'll help organizations harness their data more effectively for AI applications.

The ideal candidate brings strong academic credentials (Master's or PhD) in Computer Science or related fields, coupled with hands-on experience in Python and major ML frameworks. You'll need proven expertise in deploying production ML models and a deep understanding of advanced algorithms including deep learning and reinforcement learning.

What makes this opportunity unique is Activeloop's position in the AI infrastructure space. Their technology is trusted by industry leaders like Google, Waymo, and Intel, and they're backed by Y Combinator. The founding team brings experience from prestigious institutions like Princeton, Stanford, Google, and Tesla.

You'll be joining a fast-paced startup environment where your work will directly impact how organizations interact with and utilize their data for AI. The role offers the chance to work on meaningful projects that are shaping the future of AI data management, making it an exciting opportunity for someone passionate about building scalable ML tools and contributing to groundbreaking AI infrastructure.