Machine Learning Engineer - India
August 8, 2023
Description
• 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.
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.
Benefits
• Mission-driven, fast-paced and entrepreneurial environment • Competitive salary and equity package • A collaborative and flat company culture • Comprehensive private health insurance • Unlimited paid time off • Generous child bonding leave policy • WFH stipend to set up a home office • Discretionary trips to our offices across the globe, with global travel medical insurance (when it’s safe to travel!) • Flexible working hours • Monthly team meals and social events (virtual for now!)
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