Python ML Engineer

Activeloop is revolutionizing AI data management with Deep Lake and Multi-modal AI Search. We enable organizations to index, search, and organize billions of documents, images, and videos using natural language powered by Large Language Models.

As a Python ML Engineer, you'll be at the forefront of developing and optimizing ML pipelines, implementing efficient indexing techniques, and integrating cutting-edge retrieval methods. You'll work directly with software engineers, customers, and stakeholders to create impactful ML solutions.

The role involves designing robust machine learning pipelines for large-scale datasets, optimizing algorithms for semantic understanding, and integrating data storage solutions within Deep Lake. You'll build advanced query processing pipelines, fine-tune models, and ensure system scalability.

We're backed by Y Combinator and Silicon Valley investors, with a founding team from prestigious institutions like Princeton, Stanford, Google, and Tesla. Our technology is trusted by industry leaders like Google, Waymo, and Intel.

Join us to work on meaningful projects in a fast-paced startup environment. You'll contribute to our open-core stack that powers foundational model training and helps organizations transition from traditional software to AI. We offer an inclusive workplace committed to diversity and the opportunity to shape the future of AI data management.

Our Deep Lake platform provides unique capabilities for multi-modal datasets, LLM fine-tuning, and embedding storage with automatic version control. We're one of the fastest-growing libraries on GitHub, offering a truly serverless service without vendor lock-in.

If you're passionate about building scalable ML tools and want to be part of a transformative AI company, this role offers the perfect opportunity to make a significant impact while working with cutting-edge technology.