--- title: 'Machine Learning Engineer at Aven' canonical: 'https://feeny.ai/job/machine-learning-engineer-aven-campbell-863zg27y43es' type: 'job' last_seen: '2026-09-08' --- # Machine Learning Engineer at Aven - **Company:** Aven - **Location:** Campbell, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-08-08 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/aven/b1bdc3be-89c6-4645-8e79-8ea528f058da ## Job description Job Description We are looking for Machine Learning Engineers who have built product models from idea to delivery. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and building models. In this role, you will maintain models in production and build infrastructure to iteratively update them. You will monitor for distribution shifts in the data and adjust models accordingly. You will also be responsible for system architecture, participating in design reviews, and conducting code reviews to ensure best practices. You can expect to work on Anything and everything. At this early stage, you will find yourself: - Building targeting models for our Direct Mail Channel - Building risk models from both existing credit bureau data and Aven customers’ performance data - Building pricing and product relevance models - Building models to automate back-office human processing of documents and other tasks - Weighing in on strategy. Every voice is important to help inform our decisions - Become an expert in our product space, such that you're able to find new opportunities from data and models You should join us if - You have led large technically complex projects with a lot of moving parts - You have a lot of experience with a lot of disparate systems - You have worked on production-grade compilers, operating systems, or large distributed systems - You can jump into a new environment and hit the ground running without much hand-holding - You’re fine with us not having answers yet. You want to be part of figuring out the answers - You thrive in highly collaborative environments and are down to riff with us on anything from company mission to software architecture to user research - You enjoy diving into the deep end and feel like that’s where the greatest personal growth happens - You are fearless about learning the details and understanding every single minute detail of an underlying system or process Our Tech Stack: - AWS - PostgreSQL - Typescript - Python - VueJS (web) - Swift (iOS) - Kotlin/Java (Android) ## About Aven ## Company Overview - **One-liner**: Aven is reinventing consumer credit by offering the world’s lowest APR credit card backed by home equity, using patented technology to deliver fast, low-cost capital. - **Entity Type**: Private (Series E, raised $110M in October 2025) - **Headquarters**: San Francisco, California, USA - **Founded**: 2019 - **Founders**: Sadi Khan (CEO), Usman Ghani (CTO), Murtada Shah (Co-Founder), Collin Wikman (Co-Founder, Head of Design) ## Core Business - Primary industry: Fintech (consumer credit, financial services) - Target customers: B2C (homeowners seeking lower-cost credit) - Mission: “Deliver the lowest-cost and most transparent access to capital at scale” by giving people credit for what they already own. [aven.com/about](https://www.aven.com/about) ## Products & Services - **[Aven Card]**: A credit card with the world’s lowest APR, secured by home equity. The application process is reduced from 4–6 weeks to as fast as 15 minutes with $0 upfront cost. Patented technology automates underwriting and lien placement. [aven.com/about](https://www.aven.com/about) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding raised $252M (Series E $110M in Oct 2025, Series D $142M in Jul 2024); cumulative interest saved for customers exceeds $400M. [linkedin.com](https://www.linkedin.com/company/avencard) | [aven.com/careers](https://www.aven.com/careers) - **Notable Investors/Partners**: Founders Fund, Khosla Ventures, Sequoia Capital, Caffeinated Capital, General Catalyst, NYCA, Max Levchin. Advisory Board includes Timothy Mayopoulos (former CEO of Fannie Mae & Silicon Valley Bridge Bank), Michael DeVito (former CEO of Freddie Mac), Patrick McHenry (former Chairman of House Financial Services Committee), Jim Messina (former White House Deputy Chief of Staff). [aven.com/about](https://www.aven.com/about) - **Growth Signals**: 120 total employees (per Built In), 31.7% headcount growth YoY, operations in 8 countries (US, Canada, Mexico, Philippines, France, Greece, India, Jamaica). 4.9-star Trustpilot rating with 5,000+ reviews. Recognized on Forbes Fintech 50 and GGV Capital Fintech Innovation 50. [builtin.com](https://builtin.com/company/aven) | [linkedin.com](https://www.linkedin.com/company/avencard) | [aven.com/about](https://www.aven.com/about) ## Competitive Advantages - **Patented technology** that compresses a traditional home equity loan process (weeks, thousands of dollars) into minutes with zero upfront cost. - **Lowest APR credit card** on the market, directly attacking the core cost of consumer debt. - **Customer trust**: 4.9-star rating on Trustpilot and over $400M in cumulative interest saved. - **Top-tier advisory board** with deep regulatory and financial industry expertise, giving Aven a strategic edge in navigating complex lending laws. ## Strategic Focus - Continue scaling the machine‑banking platform to cut the cost of capital in half. - Expand product offerings beyond the initial card (e.g., mortgage tech, capital markets). - Deepen data‑driven underwriting and automation to reduce friction and cost for customers. [aven.com/careers](https://www.aven.com/careers) ## Why Work Here - **Culture**: Described as customer‑first, fundamentalist, builder, fast, minimalist, rational, and polymath. Emphasis on deep understanding of systems, laws, and code before inventing. [aven.com/careers](https://www.aven.com/careers) - **Workplace**: On‑site environment in San Francisco (Campbell, CA and HQ) with some remote or hybrid roles listed. [builtin.com](https://builtin.com/company/aven) - **Perks & Team**: “Elite tech minds” – mathematicians, engineers, data scientists. Alumni of Google, Meta, Microsoft, Uber, Tesla, and top fintechs. Strong engineering culture with focus on speed and quality. [aven.com/careers](https://www.aven.com/careers) - **Growth**: Rapidly scaling (100+ employees, 31% YoY headcount growth) with active hiring across engineering, data science, sales, and operations. ## Sources 1. [aven.com/careers](https://www.aven.com/careers) 2. [aven.com/about](https://www.aven.com/about) 3. [jobs.ashbyhq.com/aven](https://jobs.ashbyhq.com/aven) 4. [builtin.com/company/aven](https://builtin.com/company/aven) 5. [linkedin.com/company/avencard](https://www.linkedin.com/company/avencard) ## Other roles at Aven - [Legal & Compliance](https://feeny.ai/job/legal-compliance-aven-south-bay-area-campbell-ca-4zz8evha014f) — South Bay Area / Campbell, CA - [Capital Markets Lead](https://feeny.ai/job/capital-markets-lead-aven-new-york-mvbaqsvz2hcp) — New York, NY - [Solutions Operations, Mortgage Tech](https://feeny.ai/job/solutions-operations-mortgage-tech-aven-remote-0anakvxyadhw) - [Data Scientist](https://feeny.ai/job/data-scientist-aven-campbell-c6kt5n91bfsk) — Campbell, CA - [Software Engineer](https://feeny.ai/job/software-engineer-aven-campbell-d64dd90nkzcb) — Campbell, CA - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-deepjudge-zurich-0awj0n13n6kz) — Zurich, Switzerland - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-yuno-europe-qk68kdrz5rgw) — Europe - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-pangram-labs-brooklyn-e3hhh2tc2855) — Brooklyn, NY - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-gatik-ai-santa-clara-qj4vvbdeqt4x) — Santa Clara, CA - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-wynd-labs-remote-whe42v314npy)