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About Carta, Inc.
Carta, Inc. is a leading platform that empowers individuals to manage equity, build businesses, and invest in the companies of tomorrow. With a strong presence in the market, Carta supports nearly 7,000 funds and SPVs, representing nearly $130B in assets under administration.
About the Role
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Carta, Inc. As a key member of our Machine Learning team, you will play a crucial role in developing cutting-edge machine learning models to power new products, automate complex document workflows, and accelerate our business.
Key Responsibilities
- Partner with domain experts across the company to analyze and explore Carta's proprietary document repository and data set.
- Develop machine learning models to power new financial products and extract trends from performance of existing products.
- Build and deploy containerized prediction services and integrate them with our data pipelines.
- Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning.
About the Team
Our Machine Learning team is dedicated to powering data products and automation through cutting-edge techniques. We work closely with Carta's core business units and product teams to develop estimation-based data products and large language model (LLM)-powered document intelligence capabilities.
Requirements
- Strong foundation in statistics and machine learning.
- Proficiency in SQL and Python.
- Analytical mindset with a strong bias towards simplicity.
- Experience with modern programming languages (Python, R, SQL, etc.).
- Deep understanding of modern statistical and machine learning models, when to apply them, and how to evaluate their performance.
- Experience with large language models (LLMs) and their applications in document intelligence, information extraction, and text classification tasks.
- Strong written and verbal communication skills, with a particular emphasis on data visualization.
- Experience with building simple ETL pipelines (Airflow or similar) to schedule model training / predictions.
