Match score not available

ML Engineer Intern

fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Experience building real ML applications, Solid foundation in computer science, Familiar with Unix and command line, Proficient in Python, Ruby, or Java, Entrepreneurial mindset with initiative.

Key responsabilities:

  • Build functionality for product lines
  • Integrate third-party systems like AWS
Branch International logo
Branch International Financial Services Scaleup https://branch.co
51 - 200 Employees
See more Branch International offers

Job description

Branch Overview
Branch delivers world-class financial services to the mobile generation. With offices in the United States, Nigeria, Kenya, and India, Branch is a for-profit socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone, everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility. 

Branch’s mission-driven team is led by founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. In 2019, Branch announced its Series C and has garnered more than $100M in funding with investments from leading Silicon Valley firms including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC).

We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive. 

Job Overview
Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India, and are more than ever dependent on reliable products and services to achieve our goals. We are looking for talented interns to join us and be part of this journey.

As a ML engineering intern, you will work closely with experienced engineers at Branch and make significant contributions to our products and code base for 4-6 months. You will brainstorm, design, code, debug, and ship features serving our millions of customers while picking up skills necessary for your career.

Responsibilities

  • Build out functionality for existing and new product lines and platforms such as credit, customer success, fraud, etc.
  • Integrate and work with various third-party systems, including Taktile, credit bureaus, and AWS.

Qualifications

  • Have some experience building ML applications that are more than just toy projects. Applications that have real users or an open source project would be a great plus.
  • You have a solid foundation in computer science fundamentals, ML systems, data storage.
  • Know your way through various flavors of Unix and commonly used command line utilities.
  • Proficiency with at least one mainstream language like Python, Ruby, Java, etc.
  • You are highly entrepreneurial. You take the initiative to solve problems before they arise. You’ve started and/or contributed to projects you’re passionate about.
  • You are a great collaborator and communicator. You know that startups are a team sport. You listen to others, speak your mind, and ask the right questions.
  • You are excited by the prospect of working in a distributed team and company, working with teammates from all over the world, and learning. 

Benefits of Joining

  • Mission-driven, fast-paced and entrepreneurial environment
  • Competitive stipend as compensation
  • A collaborative and flat company culture
  • A job offer depending on your performance during the internship

Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law. We’re looking for more than just qualifications -- so if you’re unsure that you meet the criteria, please do not hesitate to apply!

Required profile

Experience

Level of experience: Entry-level / graduate
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration
  • Communication
  • Entrepreneurship

ML Ops Engineer Related jobs