---
title: 'Staff Machine Learning Engineer at Steadily'
canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-steadily-austin-s9g7sbrnmncy'
type: 'job'
last_seen: '2026-09-04'
---

# Staff Machine Learning Engineer at Steadily

- **Company:** Steadily
- **Location:** Austin, TX
- **Employment:** full-time
- **Posted:** 2026-03-19
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/steadily/ecf647a7-0b84-4566-bc09-3e2babdac50b

## Job description

## Overview

Location: Austin, TX (4 days in-office)

Employment Type: Full-time

Department: Engineering & Product

As a Staff Machine Learning Engineer:

You will play a key technical role on our Engineering team, identifying trends and insights across large data sets to discover where refined data or internal ML/AI models can improve our product outcomes and operations.

As the second engineer joining our dedicated ML team, you will have outsized influence on our architecture, tooling, and ML strategy. Because we are a fast-growing, agile company, this is a true end-to-end role. You’ll own researching, building, evaluating, and deploying your models to production, as well as monitoring them for quality and accuracy over time. We operate across data types including public, proprietary, and a large volume of image data.

Because we currently operate without a dedicated Data Engineering team, you will also own the data layer for your models. In practice, that means you'll often be the first person to touch a given raw data source; you're comfortable going from an unrefined, previously unexplored data set through feature engineering and into a production ML model. You can expect roughly a 30% data pipeline / new dbt table building (lightweight, not heavy ETL) and 70% feature engineering, modeling, deployment, and monitoring split in your day-to-day work.

You’ll operate with a high degree of autonomy and serve as a trusted technical owner for business problems across the organization. Steadily is still early in our exploration of where AI/ML models can drive the biggest value, making this role ideal for engineers who thrive in ambiguous environments and want their technical work to translate directly into massive business impact.

This is a full-time position based in our Austin, TX office (4 days a week in-office). We are located near Mopac and W. Anderson Lane.

Job Responsibilities

- Own the end-to-end ML lifecycle: Design, build, deploy, and evolve data sets and models with an emphasis on scalability, quality, and maintainability. Focus areas could include estimating property-level risk, accurately assessing costs, and using aerial image analysis or modeling techniques to identify attributes that feed into other models.
- Build and maintain the data layer: Build lightweight data pipelines and new dbt tables to get raw data model-ready, without owning heavy ETL infrastructure.
- Drive measurable business impact: Lead the exploration and implementation of new ML applications in our product ecosystem to better predict risk on a per-insured level and in aggregate across the entire portfolio.
- Write clean, maintainable code in our stack: We build on an event-driven architecture using Kafka, AWS (EKS), Python, Django/FastAPI, and Postgres, with a full CI/CD pipeline via GitHub Actions. You will set a high bar for engineering quality and architectural design within this ecosystem.
- Partner closely with Engineering, Product, Operations, and Business teams to design reliable solutions across systems and ensure your models are solving real-world problems.
- Provide excellent metrics and visibility into model quality, bias, and performance to assess how it’s helping the business, ensuring a high bar of scientific rigor and evaluation.

What we’re looking for:

- Experienced: 5+ years experience applying Machine Learning methods to production problems. We expect you to be able to dive into a complex codebase without too much spin-up. Past experience as a team lead or owning end-to-end deployment is definitely a plus.
- Full-stack with data: You're comfortable starting from a raw, unrefined data source that no one has previously worked with, building the lightweight pipeline or dbt table to make it usable, and carrying it all the way through feature engineering, modeling, and deployment.
- Builder with a Business Mindset: You like the product-side of data and think about how to apply modeling and evaluation techniques to real-world problems. You aren't just interested in the research; you have thoughtful opinions about where the data leads and how to maximize the business impact of your work.
- Pragmatic: We prioritize impact and delivery. You balance speed and quality, making thoughtful trade-offs to solve problems effectively. You leverage off-the-shelf solutions (and foundational models) so we don’t reinvent the wheel, but you understand when a custom solution is appropriate.
- Curious: You are not just an order-taker. You are curious about what makes the business tick and you learn the intricacies of how it runs. This results in strong intuition for when an analysis is wrong and leads you to suggest ideas and insights that nobody thought to ask for. You’re not the type of engineer who wants fully fleshed-out specs thrown over the wall for you to implement.

Nice to have:

- Actuarial experience, or experience applying models to risk evaluation and aggregation problems.
- Experience in computer vision and image analysis.
- Experience with dbt or similar modern data transformation tools.

## WHAT WE OFFER:

- Compensation: Top of market salary + equity
- Time Off: 3 weeks PTO + 6 federal holidays
- Insurance: Medical, dental, vision, life, disability, HSA, FSA
- Retirement: 401(k)
- Perks: Free snacks, team lunches, collaborative office culture

## WHY JOIN STEADILY:

- Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match.
- Top compensation. We pay at the top of the Austin market (see comp).
- Growth opportunity: We’re an early-stage, fast-growing company where you’ll wear a lot of hats and shape product decisions.
- Strong backing. We’re growing fast, we manage over $20 billion in risk, and we’re exceptionally well-funded.
- Culture: Steadily boasts a very unique culture that our teammates love. We call it like we see it and we’re nothing if not candid. Plus, we love to have a good time. Check out our culture deck http://steadily.com/culture to learn what we’re all about.
- Awards: We've been recognized both locally and nationally as a top place to work. Recently we were ranked 16th on Forbes' 2026 Best Startup Employers list https://www.forbes.com/lists/americas-best-startup-employers/, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list https://www.steadily.com/press/inc-5000. We've also been recognized as one of the Best Landlord Insurance Companies in 2026 by CNBC https://www.cnbc.com/select/best-landlord-insurance-companies/, a Top 2025 Startup in Newsweek https://rankings.newsweek.com/americas-greatest-startup-workplaces-2025, in Investopedia's Best Landlord Insurance Companies https://www.investopedia.com/the-best-landlord-insurance-11705333, and we won Austin Business Journal's Best Places to Work in 2025 https://www.bizjournals.com/austin/c/best-places-to-work-austin-2025/35046/steadily-is-one-of-austins-best-places-to-work.html.

We’re excited to meet you!

## About Steadily

## Company Overview
- **One-liner**: Steadily is a technology-driven landlord insurance company that provides fast, affordable coverage for rental property owners and real estate investors.
- **Entity Type**: Private (Series C, venture-backed)
- **Headquarters**: Austin, Texas, USA (with an additional office in Overland Park, Kansas, in the Kansas City metro area)
- **Founded**: 2020
- **Founders**: Darren Nix

## Core Business
- **Primary industry/industries**: Insurtech, Property & Casualty Insurance
- **Target customers**: B2C (landlords, rental property owners, real estate investors) and B2B (agents, partnerships)
- **Mission or purpose statement**: To provide fast, affordable, and purpose-built insurance for rental property owners, removing the friction of traditional insurance for income-producing properties.

## Products & Services
- **Landlord Insurance**: A digital-first platform offering dwelling protection, liability coverage, and loss of rent for single-family rentals, multifamily buildings, condominiums, and short-term rentals. Policies are designed to cover risks specific to income-producing properties, which standard homeowners policies typically exclude.
- **Digital Quoting Platform**: An online platform that pre-fills data points (e.g., property size, year of construction) to provide quotes in minutes without the need for an agent.
- **ChatGPT Plugin**: A first-of-its-kind landlord insurance app integrated with ChatGPT, allowing users to get quotes and manage policies through a conversational AI interface.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding of **$89.5M** raised. The company was ranked **No. 63** on the 2025 Inc. 5000 list with a **4,606% three-year growth rate**.
- **Notable Investors/Partners**: 12 investors (per PitchBook). The company has raised a Series C round of $30M.
- **Growth Signals**: Ranked **No. 16** on the 2026 Forbes America's Best Startup Employers list (second consecutive year). Named a 2025 Inc. 5000 honoree. Winner of the 2025 Best Places to Work in Austin Award and 2024 Best Places to Work in Kansas City Award. Operates in all 50 states. Launched a first-of-its-kind landlord insurance app on ChatGPT.

## Competitive Advantages
- **Purpose-built product**: Unlike general insurers, Steadily's policies are specifically designed for rental properties, covering dwelling protection, liability, and loss of rent—coverages standard homeowners policies typically exclude.
- **Digital-first experience**: Offers online quotes in minutes with pre-filled data, removing the need for an agent and streamlining the process for landlords.
- **Rapid growth & scale**: Achieved 4,606% three-year growth (Inc. 5000) and operates in all 50 states, indicating strong product-market fit and operational capability.
- **Award-winning culture**: Consistently recognized as a top employer (Forbes, Inc., local "Best Places to Work" awards), which is a strong signal of a healthy, scaling organization.

## Strategic Focus
- **Current priorities and direction for growth**: Steadily is focused on scaling its team across engineering, product, operations, sales, and partnerships. The company is actively expanding its presence in both Austin, TX and Overland Park, KS. It is also innovating on the product front, as evidenced by the launch of a first-of-its-kind landlord insurance app on ChatGPT. The company is investing in its digital platform and AI capabilities to further streamline the insurance experience for landlords.

## Why Work Here
- **Culture highlights**: Steadily is recognized as an award-winning workplace, ranking #16 on the 2026 Forbes America's Best Startup Employers list and winning local "Best Places to Work" awards in both Austin and Kansas City. The company promotes a culture of growth, innovation, and professional development.
- **Remote/hybrid/office policy**: The company has two primary office locations: Austin, TX (HQ) and Overland Park, KS (Kansas City metro area). Roles are likely office-based or hybrid, with a focus on in-person collaboration.
- **Notable perks or engineering culture**:
    - **Top-of-market compensation** and **startup equity**.
    - **Flexible time off**.
    - **Paid parental leave**.
    - **Health, Dental, and Vision insurance**.
    - **401k** plan.
    - **Continued education** support (courses and seminars).
    - **Snacks and beverages** in the office.
    - **Summer internship program** for recent graduates.
    - The company is actively hiring across engineering, product, operations, sales, and partnerships.

## Sources
1. [steadily.com](https://www.steadily.com/careers/about)
2. [steadily.com](https://www.steadily.com/careers)
3. [steadily.com](https://www.steadily.com/press/steadily-forbes-best-startup-employers-2026)
4. [inc.com](https://www.inc.com/profile/steadily)
5. [pitchbook.com](https://pitchbook.com/profiles/company/443093-32)

## Other roles at Steadily

- [Head of Revenue Operations](https://feeny.ai/job/head-of-revenue-operations-steadily-overland-park-1gtzrecb04m4) — Overland Park, KS
- [Principal Product Manager](https://feeny.ai/job/principal-product-manager-steadily-austin-9hv5kr5ttdxr) — Austin, TX
- [Director of Reinsurance and Capacity](https://feeny.ai/job/director-of-reinsurance-and-capacity-steadily-overland-park-abqw15n44327) — Overland Park, KS
- [Recruiter II](https://feeny.ai/job/recruiter-ii-steadily-overland-park-3ysazq48et7x) — Overland Park, KS
- [Business Development Manager](https://feeny.ai/job/business-development-manager-steadily-overland-park-rf7a5b8veagd) — Overland Park, KS
- [Sr. Property Claims Adjuster](https://feeny.ai/job/sr-property-claims-adjuster-steadily-overland-park-8j7d4qc0cvt3) — Overland Park, KS
- [Sales Representative – Insurance Training Provided](https://feeny.ai/job/sales-representative-insurance-training-provided-steadily-overland-park-j9mprsf08m1p) — Overland Park, KS
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