# Staff Machine Learning Engineer at Kikoff

- Company: Kikoff
- What the company does: Kikoff's credit building app is the the fastest way to build credit safely, with plans from $5/month. Backed by Lightspeed.
- Company website: https://kikoff.com/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-09-04
- Apply by: 2026-10-19
- Apply: https://job-boards.greenhouse.io/kikoff/jobs/4396892009
- Page: https://www.1752.vc/careers/jobs/kikoff-staff-machine-learning-engineer/

## About the role

We are seeking a Staff Machine Learning Engineer to set the technical direction for machine learning at Kikoff. ML sits at the center of our business: our underwriting models decide who we extend credit to, our risk models protect our customers and our balance sheet, and our personalization and growth models shape how millions of people experience our products.

## What they're looking for

- Track Record: Demonstrated ownership of ML systems with direct, measurable business impact at scale. Experience in consumer lending, credit underwriting, fraud, or payments strongly preferred
- Technical Depth:
- Expert-level Python, strong general software engineering fundamentals and system design skills
- Deep experience with the full ML lifecycle in production: feature engineering, training, evaluation, serving (batch and real-time), monitoring, and retraining
- Hands-on experience designing ML platform components such as feature stores, model registries, and evaluation frameworks, and making pragmatic build-vs-buy decisions
- Strong command of gradient-boosted trees and classical ML for tabular data, working knowledge of deep learning frameworks (e.g., PyTorch) where applicable

Tags: Engineering