Remote Senior AI/ML Growth Engineer

Description:

• Deep Lake is a database for AI designed to organize complex unstructured data and retrieve knowledge with AI.
• It is powered by a unique storage format optimized for deep-learning and Large Language Model (LLM) based applications.
• Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types like embeddings, audio, text, videos, images, pdfs, annotations, etc.
• It provides querying and vector search, data streaming while training models at scale, data versioning, and lineage for all workloads.
• Deep Lake works with data of any size, is serverless, and enables storing all data in one place.
• It is used by companies like Intel, Matterport, Flagship Pioneering, Hercules.ai, and Bayer Radiology.
• Activeloop's founding team is from Princeton, Stanford, Google, and Tesla, and the company is backed by Y Combinator.
• The role is for a Senior AI/ML Growth Engineer to grow Deep Lake and enable data scientists to build AI products faster by replacing complex data infrastructure with a database designed for deep learning.

Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field.
• Strong programming skills in Python, C++, and experience with machine learning libraries like TensorFlow, PyTorch, Llama Index, Langchain, etc.
• 5-8 years of relevant experience in machine learning infrastructure, data engineering, or DevOps.
• Experience in developing and deploying complex machine learning models in production environments.
• Strong understanding of advanced machine learning algorithms, data pre-processing, feature engineering, and data quality assurance techniques.
• Excellent problem-solving skills and ability to analyze complex data sets.
• Strong leadership and mentoring skills.

Benefits:

• Opportunity to lead the development, training, and optimization of machine learning models to solve challenging problems.
• Collaborate with a cross-functional team to develop cutting-edge AI solutions.
• Work with a team from prestigious institutions like Princeton, Stanford, Google, and Tesla.
• Be part of a company backed by Y Combinator and trusted by industry leaders.
• Inclusive, equal opportunity workplace committed to diversity and accessibility for all applicants.