AI Search Engineer

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Deep Lake is the Database for AI, empowering anyone to organize complex unstructured data and retrieve knowledge with AI.

Deep Lake is powered by a unique storage format optimized for deep-learning and Large Language Model (LLM) based applications (

Activeloop's founding team is from Princeton, Stanford, Google, and Tesla, and is backed by Y Combinator.

We're looking for an AI Search Engineer who possesses a deep understanding of large-scale information retrieval systems, deep learning, databases, and RAG architectures. The ideal candidate will have expertise in developing and optimizing search algorithms, implementing efficient indexing techniques, and leveraging RAG to enhance AI-powered search and question-answering systems.
"type":"sub_header","properties":{"title":[["What You Will Be Doing";--;
As an AI Search Engineer, you will play a pivotal role in designing, developing, and deploying advanced search and retrieval systems that leverage RAG techniques to solve complex information access challenges. You will collaborate with software engineers, customers, and business stakeholders to develop AI search solutions that deliver significant value to the organization and our clients.
"type":"sub_header","properties":{"title":[["Key Responsibilities";--;
RAG System Research and Implementation:

Search Algorithm Optimization:

Vector Database Integration

Query Understanding and Processing:

Information Retrieval Model Development:

Performance Evaluation and Metrics:

Scalability and Efficiency:

Data Ingestion and Indexing:
"type":"sub_header","properties":{"title":[["What We Need to See";--;• Master's or PhD degree in Computer Science, Machine Learning, Statistics, or a related field.
• Strong programming skills in one or more programming languages, such as Python, or C++, and extensive experience with machine learning libraries, such as TensorFlow, PyTorch, Llama Index, LangChain etc.
• Proven experience in developing and deploying complex machine learning models in production environments, including experience with cloud-based platforms, edge devices, or embedded systems.
• Strong understanding of advanced machine learning algorithms, such as deep learning, reinforcement learning, RAGs, and ensemble methods, and experience with model optimization techniques, such as hyper-parameter tuning, model compression, and quantization.
• Solid understanding of data pre-processing, feature engineering, and data quality assurance techniques, and experience with large-scale, complex data sets.
• Excellent problem-solving skills and ability to analyze and interpret complex data sets to extract meaningful insights and drive decision-making.
"type":"sub_header","properties":{"title":[["Ways To Stand Out From The Crowd";--;• You have trained deep learning models in a distributed manner.
• You are a highly motivated, curious, hardworking explorer in the field of AI
• You have publications in top-tier machine learning and AI conferences such as ICML, NeurIPS, and CVPR (highly desirable).
• You have a builder attitude and you love building cool things that matter
• You're excited to work closely with the founding team in developing hyper-scalable software for ML
• You can proactively identify and anticipate problems and provide tangible solutions
• You enjoy the startup journey of building an endurable, scalable business
"type":"sub_header","properties":{"title":[["About Activeloop Deep Lake";--;
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.