Machine Learning Engineer

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.

In 2019, Branch announced our Series C and 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).

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As a product-driven org, we value bottom-up innovation and decentralized decision-making. We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive.

We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.

Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.

Using machine learning and LLM/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.

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.

2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.

~ 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.

~ Competitive salary and equity package

~ A collaborative and flat company culture

~ Fully-paid Group Medical Insurance and Personal Accidental Insurance

~ Unlimited paid time off, including personal leave, bereavement leave, and 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

~ Team meals and social events — Virtual and In-person

We're looking for more than just qualifications --  if you're unsure that you meet the criteria but identify with our vision of providing equal opportunity to everyone to access financial services, please do not hesitate to apply

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