
AI ML Engineer
dv01 is lifting the curtain on the largest financial market in the world: structured finance. The $16+ trillion market is the backbone of everyday activities that empower financial freedom, from consolidating credit card debt and refinancing student loans, to buying a home and starting a small business.
dv01’s data analytics platform brings unparalleled transparency into investment performance and risk for lenders and Wall Street investors in structured products. As a data-first company, we wrangle critical loan data and build modern analytical tools that enable strategic decision-making for responsible lending. In a nutshell, we're helping prevent a repeat of the 2008 global financial crisis by offering the data and tools required to make smarter data-driven decisions resulting in a safer world for all of us.
More than 400 of the largest financial institutions use dv01 for our coverage of over 75 million loans spanning mortgages, personal loans, auto, buy-now-pay-later programs, small business, and student loans. dv01 continues to expand coverage of new markets, adding loans monthly, and developing new technologies for the structured products universe.
YOU WILL:
- Design and architect state-of-the-art AI/ML solutions to unlock valuable insights from unstructured banking documents: You will build document parsers to assist with the analysis of challenging document types to better inform customers of market conditions. You will build document classifiers to better improve the reliability and speed of our data ingestion processes and to provide enhanced intelligence for downstream users.
- Build, deploy and maintain new and existing AI/ML solutions: You will participate in the end-to-end software development of new feature functionality and design capabilities. You will write clean, testable, and maintainable code. You will also establish meaningful criteria for evaluating algorithm performance and suitability, and be prepared to optimize processes and make informed tradeoffs across speed, performance, cost-effectiveness, and accuracy.
- Interact with a diverse team: We operate in a highly collaborative environment, which means you’ll interact with internal domain experts, product managers, engineers, and designers on a daily basis.
- Keep up to date with AI/ML best practices and evolving open-source frameworks: You will regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks.
YOU ARE:
- Experienced with production systems: You have 3+ years of professional experience writing production-ready code in a language such as Python.
- Experienced with MLOps: Familiar with building end to end AI/ML systems with MLOps and DevOps practices (CI/CD, continuous training, evaluation, and performance tracking) with hands-on experience using MLflow.
- Experienced with the latest AI/ML developments: You also will have at least 3 years experience in hands-on development of machine learning models using frameworks like Pytorch and tensorflow, with at least 1 year focused on generative AI using techniques such as RAG, Agentic AI, and Prompt Engineering. Familiarity with Claude and/or Gemini is desired.
- A highly thoughtful AI engineer: You have strong communication skills and experience collaborating cross-functionally with product, design, and engineering.
- Experienced with Cloud & APIs: Proficient working in cloud environments (GCP preferred), as well as in contributing to containerized applications (Docker, Kubernetes) and creating APIs using FastAPI, Flask, or other frameworks.
- Experienced with Big Data Systems: You will have hands-on experience with Databricks, BigQuery or comparable big data systems. Strong SQL skills, bonus points for familiarity with dbt
- Forward-thinking: Proactive and innovative, with the ability to explore uncharted solutions and tackle challenges that don’t have predefined answers.
In good faith, our salary range for this role is $145,000-$160,000 but are not tied to it. Final offer amount will be at the company’s sole discretion and determined by multiple factors, including years and depth of experience, expertise, and other business considerations. Our community is fueled by diverse people who welcome differing points of view and the opportunity to learn from each other. Our team is passionate about building a product people love and a culture where everyone can innovate and thrive.
BENEFITS & PERKS:
- Unlimited PTO. Unplug and rejuvenate, however you want—whether that’s vacationing on the beach or at home on a mental-health day.
- $1,000 Learning & Development Fund. No matter where you are in your career, always invest in your future. We encourage you to attend conferences, take classes, and lead workshops. We also host hackathons, brunch & learns, and other employee-led learning opportunities.
- Remote-First Environment. People thrive in a flexible and supportive environment that best invigorates them. You can work from your home, cafe, or hotel. You decide.
- Health Care and Financial Planning. We offer a comprehensive medical, dental, and vision insurance package for you and your family. We also offer a 401(k) for you to contribute.
- Free Equinox Membership or $1,650 Annual Fitness Fund. Regular exercise offers a plethora of mental and physical health benefits. You can either enroll in an all-access Equinox membership or at your preferred gym. Or take advantage of our fitness fund, which can be used toward at-home workout equipment (yes, including a Peloton).
- New Family Bonding. Primary caregivers can take 12 weeks off 100% paid leave, while secondary caregivers can take 4 weeks. Returning to work after bringing home a new child isn’t easy, which is why we’re flexible and empathetic to the needs of new parents.
dv01 is an equal opportunity employer and all qualified applicants and employees will receive consideration for employment opportunities without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, age, national origin or ancestry, citizenship, veteran status, membership in the uniformed services, disability, genetic information or any other basis protected by applicable law.
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