---
title: 'Senior Software Engineer, ML Platform at Parafin'
canonical: 'https://feeny.ai/job/senior-software-engineer-ml-platform-parafin-san-francisco-45pnmjsttgw4'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Software Engineer, ML Platform at Parafin

- **Company:** Parafin
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/parafin/fd135431-5f66-4977-bf0d-1fb007b5cf89

## Job description

About Us:

At Parafin, we’re on a mission to grow small businesses.

Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.

We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.

We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.

Join us in creating a future where every small business has the financial tools they need.

## About The Position

We’re looking for a software engineer to join Parafin’s Infrastructure team and lead the evolution of our ML Platform. This role is critical to building reliable, scalable, and developer-friendly systems for model experimentation, training, evaluation, inference, and retraining that power underwriting and other ML-driven products for small businesses.

As a Software Engineer, you’ll design, build, and maintain the core abstractions and platforms that let data scientists ship high-quality models to production—safely and quickly. You’ll partner closely with Data Science and Platform Engineering, own the ML platform end-to-end, and develop batch and real-time underwriting infrastructure.

## What You'll Do

- Turn notebooks into software. Decompose data scientist training/inference notebooks into reusable, tested components (libraries, pipelines, templates) with clear interfaces and documentation.
- Create developer-friendly ML abstractions. Build SDKs, CLIs, and templates that make it simple to define features, train/evaluate models, and deploy to batch or real-time targets with minimal boilerplate.
- Build our real-time ML inference platform. Stand up and scale low-latency model serving.
- Expand batch ML inference. Improve scheduling, parallelism, cost controls, observability, and failure/rollback for large-scale batch scoring and post-processing.
- Own and expand the feature store. Design offline/online feature definitions, high read/write throughput, and consistent offline/online semantics.
- Platform reliability and observability. Instrument training/inference for latency, throughput, accuracy, drift, data quality, and cost; build alerting and dashboards; drive incident response and postmortems.
- Underwriting infrastructure partnership. Support production batch and real-time underwriting systems in collaboration with Data Science; collaborate on model interfaces, SLAs, safety checks, and product integrations.

## What We Are Looking For

- 5+ years of software engineering experience, including experience on ML platform/MLOps systems (training, deployment, and/or feature pipelines).
- Strong Python; solid software design and testing fundamentals. Proficiency with SQL; hands-on Spark/PySpark experience.
- Knowledge of ML fundamentals—probability & statistics, supervised vs. unsupervised learning, bias/variance & regularization, feature engineering, model evaluation metrics, validation strategies, and production concerns like drift, stability, and monitoring.
- Expertise with modern data/ML stacks—AWS, Databricks (workflows, lakehouse, MLflow/registry, Model Serving), and Airflow (or equivalent orchestration).
- Experience building real-time systems (service design, caching, rate limiting, backpressure) and batch pipelines at scale.
- Practical knowledge of feature-store concepts (offline/online stores, backfills, point-in-time correctness), model registries, experiment tracking, and evaluation frameworks.
- Strong problem-solving skills and a proactive attitude toward ownership and platform health.
- Excellent communication and collaboration skills, especially in cross-functional settings.

Bonus Points

- Databricks experience (MLflow, Model Serving).
- Experience with feature stores (e.g., Tecton, Feast) and streaming (Kafka/Kinesis).
- Experience with fintech, risk, or underwriting systems; familiarity with model safety checks, rejection/override flows, and auditability.
- Background with A/B testing platforms, shadow/canary deployments, and automated rollback.
- Experience with low-latency inference systems.

## What We Offer

- Salary Range: $215k to $275k
- Equity grant
- Medical, dental & vision insurance
- Work from home flexibility
- Unlimited PTO
- Commuter benefits
- Free lunches
- Paid parental leave
- 401(k)
- Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

## About Parafin

## Company Overview
- **One-liner**: Parafin is a financial infrastructure company that provides platforms with embedded financial products for small businesses.
- **Entity Type**: Private (Line of Credit – II; total raised $412M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020
- **Founders**: Sahill Poddar, Vineet Goel, Ralph Furman

## Core Business
- **Primary industry**: Embedded finance / Fintech infrastructure
- **Target customers**: B2B – marketplaces, vertical SaaS platforms, and payment processors that serve small businesses
- **Mission / purpose**: “Power the financial services of platforms so small businesses can run and grow themselves despite uncertain economic conditions.”

## Products & Services
- **Capital**: White-labeled working capital financing for small businesses. Offers are pre-approved, disbursed in as little as 24 hours, with no interest or late fees. AI-powered underwriting trained on over 1 billion cross-industry data points.
- **Pay Over Time**: A payment method that allows end customers to pay over time, helping platforms grow their bottom line.
- **Spend**: A spend card program that turns everyday customer spend into revenue and loyalty for the platform.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metrics**:
  - Total funding: $412M (latest round: Line of Credit – II in 2026)
  - Extended over $25 billion in offers to hundreds of thousands of businesses
  - Over 50,000 businesses funded
- **Notable Investors / Partners**: Ribbit Capital, Thrive Capital, GIC, Notable Capital, Redpoint Ventures; also Trinity Capital, Silicon Valley Bank, EverBank, Cross River. Platform partners include DoorDash, Amazon, Worldpay, Walmart, and Mindbody.
- **Growth Signals**:
  - Ranked #10 on the 2025 Deloitte Technology Fast 500
  - Ranked #13 on the 2025 Inc. 5000 list
  - Named to the 2026 Forbes Fintech 50
  - Recognized as one of “America’s best startup employers (2026)”
  - Expanded warehouse credit facility with Silicon Valley Bank, EverBank, and Trinity Capital (May 2026)

## Competitive Advantages
- **AI-powered underwriting** that continuously improves using over 1 billion data points, enabling high approval rates and pre‑approved offers.
- **White‑labeled, deeply integrated UI** that feels native to the platform partner.
- **Fast capital deployment** – funds in as little as 24 hours with no interest or late fees.
- **Trusted by leading platforms** (DoorDash, Amazon, Worldpay, Walmart) providing strong distribution and credibility.

## Strategic Focus
- Expand the suite of embedded financial products (Capital, Pay Over Time, Spend).
- Deepen partnerships with platforms and payment processors to reach more small businesses.
- Continue to invest in AI/ML underwriting to improve approval rates and risk management.
- Scale the warehouse credit facility and debt capacity to support growing loan origination.

## Why Work Here
- **Culture & values**: Accountability, Efficiency, Empathy, Intellectual Honesty. Emphasis on seeking truth, giving feedback, and being results-oriented.
- **Benefits**: Unlimited PTO, medical/dental/vision insurance, 401(k) plan, commuter benefits, free in-office lunches, HSA & FSA options, paid parental leave, pet insurance discount, mental health & well-being resources, coffee chat allowance, peer recognition program, free equity tax advising.
- **Work environment**: Office‑first in San Francisco (301 Howard Street). Roles span Engineering, Data Science, Design, Finance, Marketing, Operations, Platform Growth, and Sales.
- **Recognition**: Named “America’s best startup employers (2026)” and “Fintech Innovation 50,” indicating strong employee satisfaction and industry impact.

## Sources
1. [parafin.com](https://www.parafin.com/) – Official website
2. [parafin.com/about](https://www.parafin.com/about) – About page
3. [parafin.com/careers](https://www.parafin.com/careers) – Careers page
4. [jobs.ashbyhq.com/parafin](https://jobs.ashbyhq.com/parafin) – Open roles
5. [cbinsights.com](https://www.cbinsights.com/company/parafin) – CB Insights company profile

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