Branch International is hiring for an ML Engineer Internship. This article outlines the role’s responsibilities and the qualifications expected from candidates, including hands-on ML application experience, systems integration, and strong fundamentals. Read on to learn how the position combines product development across credit, customer success, and fraud platforms with third-party integrations and the personal qualities that make a strong fit.
Role and Responsibilities
The ML Engineer Internship focuses on building out functionality for both existing and new product lines and platforms. Key areas include:
- Product development: Implement functionality across credit, customer success, fraud, and related platforms, contributing directly to product capabilities and improvements.
- System integration: Integrate and work with various third-party systems to enable end-to-end solutions. Examples of integrations include Taktile, credit bureaus, and AWS.
- Cross-functional focus: Work that spans multiple product areas and platforms, requiring attention to how ML components interact with credit systems, customer success workflows, and fraud detection.
Requirements and Fit
Successful candidates combine technical foundations with practical ML experience and collaborative skills:
- ML application experience: Experience building ML applications is required. Real-user projects or open-source work are preferred forms of that experience.
- Technical fundamentals: A solid foundation in computer science fundamentals, ML systems, and data storage is expected to support reliable model development and deployment.
- Command line and languages: Familiarity with Unix command line utilities is required. Proficiency in at least one mainstream language—such as Python, Ruby, or Java—is also required.
- Mindset and teamwork: An entrepreneurial mindset, initiative, and strong collaboration and communication skills are essential. Candidates should be comfortable working in a distributed team environment.
In summary, the ML Engineer Internship at Branch International centers on building ML-driven functionality across credit, customer success, and fraud platforms while integrating with third-party systems like Taktile, credit bureaus, and AWS. Candidates must demonstrate real ML application experience, solid CS and ML systems knowledge, Unix and programming proficiency, and an entrepreneurial, collaborative approach suited to distributed teams.
