Branch International is hiring a
Machine Learning Engineer

Summary

The job is for a Machine Learning Engineer at Branch, a financial services company that uses data science to deliver world-class financial services in emerging markets. The role involves developing machine learning models for various applications and requires 8+ years of software engineering experience, Python and SQL skills, data skills, cloud computing knowledge, self-motivation, teamwork skills, and a customer-focused mindset.

Requirements

• 8+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred
• Experience coordinating and collaborating with various business stakeholders and company leadership on critical functional decisions and technical roadmap
• 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

• Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers
• Customer Service: Using machine learning and NLP, automate customer service interactions and provide context to our customer service team
• Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors
• Team work: 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

Benefits

• Competitive salary and equity package
• A collaborative and flat company culture
• Remote first, with the option to work in-person occasionally
• Fully-paid Group Medical Insurance and Personal Accidental Insurance
• Unlimited paid time off including personal leave, bereavement leave, 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
• Discretionary trips to our offices across the globe, with global travel medical insurance
• Team meals and social events- Virtual and In-person