Database for AI providing simple API for creating, storing, versioning, and collaborating on multi-modal AI datasets.

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.

Senior Python ML Engineer position at Activeloop focusing on developing and optimizing ML pipelines for AI database solutions.

Senior Python ML Engineer

Activeloop is revolutionizing AI data management with Deep Lake and Multi-modal AI Search, enabling organizations to index, search, and organize billions of documents, images, and videos using natural language powered by Large Language Models. The company provides a cutting-edge platform for creating, storing, and versioning multi-modal AI datasets of any size.

As a Senior Python Backend Engineer, you'll be at the forefront of building scalable platforms that power AI applications. You'll work on developing robust backend services, designing optimized APIs, and implementing distributed systems that handle massive data volumes. The role requires expertise in Python, distributed systems, and modern cloud technologies.

The company's technology is trusted by industry leaders like Google, Waymo, and Intel, and they're backed by Y Combinator and other prominent Silicon Valley investors. The founding team comes from prestigious institutions like Princeton, Stanford, Google, and Tesla, creating an environment rich in expertise and innovation.

This is an opportunity to join a rapidly growing company that's making significant impacts in the AI industry. You'll work directly with the founding team, contributing to hyper-scalable software for machine learning while helping build an enduring and scalable business. The role offers the chance to work on cutting-edge technology that's actively shaping the future of AI data management and deployment.

Senior Python Backend Engineer role at Activeloop, building scalable platforms for AI data management with competitive compensation of $120K-$200K.

Senior Python Backend 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.

Python ML Engineer position at Activeloop focusing on developing and optimizing machine learning pipelines for AI data management platform.

Python ML Engineer

Activeloop transforms organizations' data for AI with Deep Lake and Multi-modal AI Search, enabling intuitive search across documents, images, and videos using LLMs.

Activeloop is seeking a Python ML Engineer to join their innovative team working on Deep Lake and Multi-modal AI Search solutions. This role combines cutting-edge machine learning with practical applications in data organization and retrieval. The ideal candidate will have advanced degrees and strong expertise in ML, focusing on developing and optimizing machine learning pipelines, implementing efficient indexing techniques, and integrating state-of-the-art retrieval methods.

The position offers an opportunity to work on meaningful projects that transform how organizations utilize their data for AI applications. You'll be responsible for designing ML pipelines, optimizing algorithms, and building advanced query processing systems. The role requires expertise in Python, ML frameworks, and production deployment experience.

What makes this role unique is the chance to work with cutting-edge AI technology, including Retrieval-Augmented Generation (RAG) techniques and distributed training of deep learning models. Activeloop's products are trusted by industry leaders and are at the forefront of transitioning from traditional software to AI applications.

The company values diversity and provides an inclusive workplace environment. You'll be part of a team that's building scalable, impactful ML tools in a dynamic startup environment, contributing to the development of an enduring business that's revolutionizing how organizations harness their data for AI applications.

Senior Python ML Engineer position at Activeloop, focusing on developing and optimizing machine learning pipelines for data organization and retrieval systems.

Activeloop transforms the way organizations harness their data for AI with Deep Lake and Multi-modal AI Search, empowering indexing, searching, and organizing billions of documents, images, and videos using natural language powered by Large Language Models.

Activeloop is seeking an experienced Python Backend Engineer to join their team in Mountain View. As a key member of the engineering department, you'll be at the forefront of transforming how organizations harness data for AI using Deep Lake and Multi-modal AI Search.

In this role, you'll architect and develop robust backend services and platforms that are secure, scalable, and maintainable. You'll design and optimize RESTful APIs and microservices for peak performance, implement distributed systems to handle massive amounts of data, and ensure code excellence through rigorous testing and best practices.

Key responsibilities include:
- Building scalable backend platforms and services
- Designing and optimizing APIs and microservices
- Implementing and operating distributed systems
- Collaborating with cross-functional teams
- Optimizing system performance
- Deploying applications using modern tools like Docker and Kubernetes
- Enhancing platform reliability through advanced monitoring and alerting solutions

The ideal candidate will have:
- 7+ years of relevant industry experience in backend development
- Deep proficiency in Python and the Fast API framework
- Extensive experience with distributed systems at scale
- Solid understanding of SQL and NoSQL databases
- Expertise in RESTful APIs and microservices architectures
- Hands-on experience with Docker, Kubernetes, and cloud platforms
- A track record of owning product delivery from inception to support
- Excellent teamwork and communication skills
- A Bachelor's degree in Computer Science or equivalent experience

Activeloop offers the opportunity to work on cutting-edge AI technology, contribute to building a scalable business, and work closely with the founding team. If you're passionate about AI, excited by technological challenges, and eager to be part of a startup journey, this role could be perfect for you.

Join Activeloop in their mission to make data more accessible and actionable than ever before, empowering advanced LLMs, generative models, and computer vision models across various industries.

Join Activeloop as a Python Backend Engineer to build scalable AI-powered data platforms using cutting-edge technologies in Mountain View.

Activeloop Engineering Jobs

Database for AI providing simple API for creating, storing, versioning, and collaborating on multi-modal AI datasets.