ML Engineer Intern @ Lensa
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Job Details
About Lensa
Lensa is a career site that helps job seekers find great jobs in the US. It is not a staffing firm or agency, and does not hire directly but promotes jobs on LinkedIn for its direct clients and partners.
About Branch
Branch is a leading AI-based lending fintech with 50M+ downloads across India and Africa. Headquartered in Silicon Valley with operations in India, Nigeria, and Kenya, Branch uses alternative data to serve millions excluded from mainstream financial services. It is led by the former CEO of Kiva.org and backed by investors like Andreessen Horowitz, Visa, and the IFC.
Job Overview
As a ML Engineer Intern at Branch, you will work closely with experienced engineers on a 4-6 month internship. You will brainstorm, design, code, debug, and ship features that serve millions of users.
Responsibilities
- Develop functionality for new and existing product lines such as credit, customer success, and fraud.
- Integrate with various third-party systems including Taktile, credit bureaus, and AWS.
Qualifications
- Experience building ML applications with real users or open source projects.
- Solid foundation in computer science fundamentals, ML systems, and data storage.
- Proficiency in one mainstream language like Python, Ruby, or Java.
- Comfort with Unix and command line utilities.
- Entrepreneurial mindset and a proactive problem solver.
- Excellent collaboration and communication skills.
Benefits of Joining
- Mission-driven, fast-paced, and entrepreneurial environment.
- Competitive stipend as compensation.
- Collaborative and flat company culture.
- Potential job offer based on internship performance.
Additional Information
Branch International is an Equal Opportunity Employer. For any questions about this posting, please contact support@lensa.com.
Key skills/competency
- Machine Learning
- Python
- Data Storage
- Unix
- Debugging
- Integration
- Third-party Systems
- AWS
- Collaboration
- Entrepreneurship
How to Get Hired at Lensa
🎯 Tips for Getting Hired
- Customize your resume: Focus on ML projects and Unix skills.
- Highlight experience: Emphasize real ML applications.
- Research Branch International: Understand their fintech mission and legacy.
- Prepare for technical tests: Brush up on Python and AWS integration.