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Data-Driven Innovator
2 weeks ago
At Branch, we're passionate about our customers and committed to making financial services accessible to everyone everywhere.
">We're looking for talented professionals who share our vision and are eager to join our team as Machine Learning Engineers.
You will work closely with other engineers, product managers, and underwriters to develop, improve, and deploy machine learning models and solve complex optimization problems.
We use machine learning extensively in our credit product, where it plays a crucial role in underwriting and loan servicing decisions.
We're also actively exploring new applications of machine learning in some of our newer products, aiming to enhance the user experience.
Machine learning sits at the intersection of various disciplines, including computer science, statistics, operations research, data science, and more.
To be impactful, machine learning needs to be closely embedded into the rest of the product development and software engineering process.
Therefore, we emphasize the importance of software engineering skills and experience for this role.
Credit Decisions:
We build signals from unstructured and structured data to identify good borrowers.
Using machine learning and NLP, we automate customer service interactions and provide context to our customer service team.
Fraud Prevention:
We identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
As a machine learning engineer at Branch, you'll bring your expertise to bear on the technical direction and abilities of the team.
You'll work cross-functionally with policy and product teams to improve processes and drive innovation.
Requirements:
We're seeking candidates with hands-on experience building software in a production environment.
Startup or early-stage team experience is preferred.
You should have excellent software engineering and programming skills, especially in Python and SQL.
A diverse range of data skills, including experimentation, statistics, and machine learning, is essential.
You'll work with cloud computing infrastructure and data pipelines in production.
Benefits:
We offer a competitive salary and equity package.
Our company culture values collaboration and flatness.
We provide fully-paid group medical insurance and personal accidental insurance.
Unlimited paid time off includes personal leave, bereavement leave, and sick leave.
We offer fully-paid parental leave, including six months maternity leave and three months paternity leave.
We provide a monthly WFH stipend alongside a one-time home office setup budget.
Our annual professional development budget is $500.
Team meals and social events are an integral part of our culture.
