ML + Data Engineer

⚡About us

Slope is bringing the B2B economy online with a category-defining modern payments platform. Powered by our clean data infrastructure, we are building one platform to seamlessly automate B2B payment workflows.

🦾 The Role

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

• 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 the 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 life-time 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 a web frameworks (i.e. Django, Nextjs)

• Experience at a high-growth, fast-paced startup