Founding ML Engineer

Summary

Recruiting from Scratch is representing a dynamic startup focused on leveraging AI to transform the media landscape. They are seeking a Founding ML Engineer to design and implement machine learning models, develop backend systems, and collaborate with teams to integrate machine learning features into existing platforms.

Responsibilities

• Design and implement machine learning models to analyze and interpret complex data sets
• Develop backend systems using TypeScript and Python to support scalable applications
• Collaborate with cross-functional teams to integrate machine learning features into existing platforms
• Optimize database queries and data storage solutions using MongoDB and vector databases
• Deploy and manage applications on AWS to ensure high availability and performance
• Conduct experiments and iterate on models based on performance metrics and user feedback

Skills

• 2+ years of experience in machine learning, data engineering, or backend engineering roles
• Proficiency in TypeScript and Python, with a strong understanding of backend development principles
• Experience with modern web frameworks, particularly Next.js
• Familiarity with cloud services, especially AWS, for application deployment and management
• Knowledge of database technologies, including MongoDB and vector databases
• Experience working in AI or media industries, understanding the unique challenges and opportunities
• Familiarity with data pipeline architectures and ETL processes
• Previous involvement in startup environments, demonstrating adaptability and initiative

Qualifications

Must Haves

• 2+ years of experience in machine learning, data engineering, or backend engineering roles
• Proficiency in TypeScript and Python, with a strong understanding of backend development principles
• Experience with modern web frameworks, particularly Next.js
• Familiarity with cloud services, especially AWS, for application deployment and management
• Knowledge of database technologies, including MongoDB and vector databases

Nice to Haves

• Experience working in AI or media industries, understanding the unique challenges and opportunities
• Familiarity with data pipeline architectures and ETL processes
• Previous involvement in startup environments, demonstrating adaptability and initiative

Benefits

• Equity options between 0.5% and 2%