Senior Machine Learning Engineering Lead

CodeLn is a unified platform that assists businesses in building and operationalizing intelligence to solve their problems. They are seeking a Senior Machine Learning Engineering Lead to own the technical vision, enhance the platform's architecture for scalability and security, and lead a distributed engineering team to ensure alignment with market needs.

Responsibilities:

• Own the end-to-end technical architecture of the platform
• Enhance MVP for scalability, security, reliability, and extensibility
• Translate the product vision into clear technical systems and roadmaps
• Lead and mentor a distributed engineering team
• Establish engineering standards, rituals, and delivery cadence
• Build a culture of ownership, clarity, and technical excellence
• Balance speed with quality in a fast-moving startup environment
• Partner closely with Product and GTM to align delivery with market needs
• Ensure engineering builds the right things at the right depth
• Help shape the platform toward workflows, intelligence, simplicity, and compounding value
• Identify and reduce technical risk
• Prevent unnecessary rewrites, fragility, or over-engineering
• Ensure reliability, observability, and security are embedded in the platform
• Represent the technical vision to customers, partners, and investors
• Support enterprise sales, security reviews, and technical diligence
• Build confidence that our company is a long-term, enterprise-ready platform

Requirements:

• 5+ years in engineering with experience building or scaling real platforms
• Experience as a founder, early CTO, principal engineer, or senior platform lead
• Have built or scaled real AI-enabled or data-intensive platforms in production
• Have deep comfort with distributed systems, data pipelines, and applied ML
• Comfortable operating with ambiguity, ownership, and speed
• Deeply values simplicity, clarity, and good technical judgment
• Strong communicator who can translate technical ideas into business impact
• Motivated by mission, impact, and ownership
• Experience in fintech, financial services, insurance, or enterprise SaaS
• Prior experience supporting early-stage fundraising or technical diligence