Machine Learning Engineer

Summary

Join Branch International, a mission-driven fintech company, and become a Machine Learning Engineer. You will contribute to developing, improving, and deploying machine learning models for credit decisions, customer service automation, and fraud prevention. This role requires close collaboration with engineers, product managers, and underwriters. The ideal candidate possesses strong software engineering skills (especially in Python and SQL), data science expertise, and experience with cloud computing infrastructure. Branch offers a competitive salary and equity, comprehensive benefits, and a collaborative work environment.

Requirements

• 2+ years of hands-on experience building software in a production environment
• Excellent software engineering and programming skills, especially Python and SQL
• A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions
• A deep understanding of using cloud computing infrastructure and data pipelines in production
• Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done
• Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher
• The drive to make a positive impact on customers' lives

Responsibilities

• Develop, improve, and deploy machine learning models
• Solve optimization problems
• Work closely with other Engineers, Product Managers, and underwriters
• Build signals from unstructured and structured data to identify good borrowers
• Automate customer service interactions and provide context to our customer service team using machine learning and LLM/NLP
• Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors
• Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground

Preferred Qualifications

Startup or early-stage team experience is preferred

Benefits

• Competitive salary and equity package
• A collaborative and flat company culture
• Fully-paid Group Medical Insurance and Personal Accidental Insurance
• Unlimited paid time off, including personal leave, bereavement leave, and sick leave
• Fully paid parental leave — 6 months maternity leave and 3 months paternity leave
• Monthly WFH stipend alongside a one-time home office set-up budget
• $500 Annual professional development budget
• Team meals and social events — Virtual and In-person