Machine Learning Engineer

Goliath Partners, an early-stage AI fintech startup, is seeking a Machine Learning Engineer to design and ship production-ready models, build data pipelines and APIs for real-time decisioning, and own end-to-end projects from research to deployment. This onsite role in San Francisco offers the opportunity to shape affordability and risk analytics while collaborating across product, data, and engineering teams, with a compensation of USD 250,000 per year.

What you’ll do

• Design and scale ML models for affordability, risk, and predictive analytics
• Build data pipelines and APIs that bring ML into production at scale
• Collaborate with product, data, and engineering teams to ship customer-facing features
• Experiment with different approaches, knowing when to use ML and when not to
• Drive innovation in model performance, monitoring, and reliability

Requirements

• Strong product mindset with a passion for solving real customer problems
• Hands-on ML engineer comfortable going end-to-end (research, data pipelines, production)
• Experienced in Python, modern ML frameworks, and distributed systems
• High-quality standards but able to move fast and ship iteratively
• Excited about working in a high-ownership, early-stage startup environment

Technologies

• Python

Who you are

• Strong product mindset with a passion for solving real customer problems
• Hands-on ML engineer capable of end-to-end work from research through production
• Proficient in Python, modern ML frameworks, and distributed systems
• Maintains high-quality standards while moving quickly to ship iteratively
• Thrives in a high-ownership, early-stage startup environment