Machine Learning Engineer - India
Branch International
- India
- Permanent
- Full-time
- 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.
- 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.
- Mission-driven, fast-paced and entrepreneurial environment
- 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