AI& Data Engineering Principal
Role summary
YC Bench is seeking an AI & Data Engineering Principal for a full-time remote role. This position will lead the design and implementation of advanced AI models and scalable data pipelines, including data infrastructure development and algorithm design for predictive modeling. The role requires expertise in data engineering, AI/ML, programming languages like Python, R, SQL, and cloud platforms (AWS, Azure, GCP). The Principal will collaborate with cross-functional teams to deliver high-performance solutions, ensure data quality, and stay current with AI technologies. Experience in startup ecosystems or VC data is a plus.
Company Description
YC Bench serves as a live benchmark platform that evaluates forecasting models for predicting the success of Y Combinator startups within their respective batches. Our mission is to provide actionable insights and analytics that help investors, founders, and stakeholders make informed, data-driven decisions. YC Bench combines innovative data engineering techniques with advanced AI models to deliver unparalleled forecasting accuracy. We are committed to creating a transparent and impactful tool for the startup ecosystem.
Role Description
This is a full-time remote role for an AI & Data Engineering Principal. The individual will drive the design and implementation of advanced AI models and scalable data pipelines. Responsibilities include leading data infrastructure development, designing efficient algorithms for predictive modeling, and collaborating across teams to deliver high-performance solutions. The role also involves staying at the forefront of emerging AI technologies and ensuring data quality and reliability for accurate forecasting.
Qualifications
- Proficiency in Data Engineering skills, such as designing and implementing efficient data pipelines, ETL processes, and managing data infrastructure.
- Experience with Artificial Intelligence and Machine Learning, including building and optimizing predictive and forecasting models.
- Expertise in programming languages such as Python, R, SQL, and familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Strong analytical and problem-solving skills, with a robust understanding of data structures and algorithms.
- Ability to lead cross-functional teams and collaborate with stakeholders to align technical solutions with business goals.
- Bachelor’s or Master's degree in Computer Science, Data Science, Engineering, or a related field; a PhD is a plus.
- Experience with startup ecosystems or venture capital data is a bonus.
- Ability to work independently in a remote environment, with excellent time management and communication skills.