Applied AI Engineer, Valon Mortgage
$185-325k
Transforming $25B+ mortgage servicing market with software
Be an early applicant
Transforming $25B+ mortgage servicing market with software
201-500 employees
Be an early applicant
$185-325k
201-500 employees
Company mission
To champion homeowners on their financial journey, as the partner they trust with their home and future.
Role
Who you are
- A proven track record of implementing generative AI solutions in production environments
- Proficiency in tools and models such as OpenAI, Anthropic, Hugging Face, and human-in-the-loop platforms like Humanloop
- Experience with full-stack development, particularly with Python, React, and GCP
- 5+ years of industry experience in engineering with a strong focus on AI, particularly LLMs and related technologies
- Strong problem-solving skills and excellent communication abilities
- Strong ability to collaborate with product managers, founders, and the operational team to build and iterate on product-focused AI solutions
What the job involves
- We are building a world-class engineering team to automate one of the most regulated spaces in the financial sector - the mortgage and housing industry. We come from companies like Google, Facebook, Spotify, Oscar Health, and Twilio. You’ll join a small, tight-knit group of engineers who are developing flexible backend architecture to accurately handle billions of dollars at scale.
- In addition, our team of engineers is fulfilling Valon’s mission by creating a great user experience to help homeowners manage their mortgages through a platform that delivers new features quickly and with quality. Our tech stack is built on Python, React, Docker, Kubernetes, and Google Cloud Platform
- Lead the end-to-end development and deployment of AI systems for mortgage servicing products and workflows, including document classification, call center insights, and servicing specific agentic AI
- Identify new opportunities to apply generative AI to enhance operational efficiency across the entire business
- Oversee the architecture, training, and serving of open-source deep learning models using state-of-the-art infrastructure
- Conduct applied product research to evaluate and integrate the latest LLM models and techniques into production systems
- Ensure AI solutions adhere to regulatory standards
- Mentor and guide team members, fostering an environment of continuous learning and innovation
Our take
Valon is attempting to bring smoother, clearer customer service to the often unsophisticated industry of mortgage services. Its cloud-native mobile platform allows borrowers to make payments and manage escrow accounts while avoiding time-consuming call centers, inaccurate information and poorly designed websites. In turn, lenders can use the platform to request API feeds to gather information on customer performance.
The company is aiming to disrupt and bring down the costs in a market that it sees as heavily monopolized, and which is largely devoid of customer-oriented innovation. Currently, mortgage servicing giant Black Knight controls over half of all residential loans in the US, the result of which has seen a 250% increase in servicing costs in the last decade.
Valon's growth so far has been remarkable. The company went from zero contracts in 2019 to $65 billion in mortgages in 2024, with a 400% year-on-year growth. Its remarkable growth attracted over $169 million in funding in 2024. On top of this boost, it has further diversified its capabilities to include servicing government-sponsored home loans from the Federal National Mortgage Association.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
21% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Oct 2024
$100m
SERIES C
Jul 2024
$69.8m
LATE VC
Total funding: $348.8m
Company benefits
- Fully Covered Healthcare Premiums on Zero Deductible Medical/Dental/Vision Insurance Plans
- Flexible Sick Days
- Equity Packages
- Generous Vacation Policy + Multiple Company Holidays
- Provided Laptop, Custom Acessories, and Ergonomic Equipment
- Commuter Benefits
- Paid Parental Leave
- Unlimited Snacks and Drinks
Company values
- Do what’s best for Valon - We always do what’s best for the business. We prioritize Valon’s long-term success over personal or departmental interests. Every decision should keep in mind what’s globally optimal for Valon.
- Deliver impact - We do the hard thing to get the job done—specifically, to get the job done right. Valon values high ownership, end-to-end accountability, and delivering concrete outcomes.
- Communicate with candor - Valon values intellectual honesty and direct communication for both individual growth and the best possible outcomes. We stay humble and open-minded.
- Act with urgency - We operate with a strong bias for action to make fast progress consistently. This compounds, and we win by moving mountains over long time periods.
- Reason from first principles - We believe in thinking deeply and precisely. We empower our team with deep business context so they can build their reasoning from the ground up rather than being bound by convention or what everyone else does.
- Focus on what matters most - We constantly assess and re-orient ourselves to do the work that matters most for the business. We are always laser-focused on pushing the business forward.
Company HQ
Union Square, New York, NY
Articles
Leadership
Andrew Wang
(CEO & Co-Founder)Studied Computer Science at Harvard. Interned as a Software Engineer at The White House, and Google. Was an Analyst at Goldman Sachs. Spent 4 years as a Principal to Soros Fund Management.
Linda Du
(COO)Studied Computer Science and Statistics at Harvard. Worked at Samlyn Capital and Two Sigma prior to joining Valon.
Jake Mintz
(CPO)Studied Electrical Engineering at Santa Clara University. Co-founded Bump Technologies which was acquired by Google.
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