Software Engineer (Credit/ML)

Slope; San Francisco (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

Join an innovative startup that empowers businesses with seamless access to capital. As a key member of the team, you'll build and optimize risk models, manage data pipelines, and enhance our underwriting infrastructure. This is a unique chance to work in a fast-paced environment with a tight-knit team, where your contributions will directly impact the growth of small businesses. If you're excited about the opportunity to innovate and make a difference while working alongside seasoned founders, this role is perfect for you. Don't miss out on this once-in-a-lifetime opportunity to be part of a rapidly growing company!

Qualifications

• 3+ years experience in Data Engineering or ML Engineering in production.
• Fluency in Python and JavaScript, experience with SQL and ETL.

Responsibilities

• Build core risk models for underwriting and optimize service for low latency.
• Integrate new data sources and support internal tooling improvements.

Skills

Data Engineering

Machine Learning Engineering

Python

JavaScript

SQL

Data Warehousing

ETL

Proactive Learning

Tools

Pandas

Scikit-learn

NumPy

Django

Next.js

Job description

About us

At Slope, we empower growing businesses by providing seamless access to capital. We are building a unified platform that serves two main purposes:

1. Direct Business Financing ("Financing by Slope"): We offer businesses the capital they need with instant underwriting and a consumer-grade user experience, making it easier and faster for them to manage their financing needs and focus on growth.

2. Technology Platform for Credit Teams ("Powered by Slope"): Our cutting-edge technology supports credit teams at enterprises and financial institutions, enhancing their ability to manage and extend credit efficiently.

The Role

You will play a foundational role in building the models and infrastructure powering Slope’s underwriting stack. If the thought of building things from scratch and owning features end-to-end excites you, you’d be a perfect fit!

• Building the core risk models powering underwriting. The outputs of these models will determine who we lend to, how much we lend, and what terms we offer – our core business activity.
• You will own everything from building pipelines & writing training loops to deploying the model to real-time production code.
• Scale and optimize our underwriting service while keeping it low latency.
• Seeking out new data sources, such as credit bureaus, fraud-detection services, and alternative sources (social media, satellite & street views). Integrating promising APIs into our production & training pipelines.
• Building the infrastructure that powers data ingestion, model training, and deployment.
• Support the improvement of internal tooling used in financial-based and manual underwriting.

Why work with us?

• You’ll get the chance to be an early team member at a fast-growth YC startup. We truly believe it’s all about slope — not where you start but how fast we are growing and iterating.
• We are growing insanely fast and are well-funded. This is a once-in-a-lifetime opportunity to join our rocketship at an inflection point!
• We’re a tight-knit, intense team, where you'll learn a ton and have ownership.
• We have raised capital from some of the best VCs (Y Combinator, Union Square Ventures) and angels (Sam Altman and founders of Doordash, Dropbox, Plaid, Opendoor, Unity) in the world.
• Work with seasoned second-time founders.
• Once in a lifetime opportunities to scale innovations such as Slope Transformer.
• Help transition the massive B2B economy online and help small business owners thrive.

Requirements

• 3+ years in Data Engineering, or ML Engineering in a production setting.
• Worked closely with data scientists to ship features and models into production.
• Experience building, maintaining, and debugging distributed ML infrastructure.
• Fluency in Python and Javascript.
• Experience with the DS stack (Pandas, Scikit, Numpy).
• Experience with SQL, data warehousing and ETL.
• Experience with building internal tooling to empower coworkers and improve operational efficiency.
• Willing to work in person at SF office.
• Being proactive and a fast-learner (Slope!).

Bonus points

• Entrepreneurial mindset (we encourage all employees to be future founders and this can be a great stepping stone towards that).
• Customer-centric and passionate about helping small businesses grow.
• Experience with web frameworks (i.e. Django, Nextjs).
• Experience at a high-growth, fast-paced startup.