AI ML Engineer

dv01-posted 3 months ago
$145,000 - $160,000/Yr
Full-time • Mid Level
101-250 employees
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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.

  • Design and architect state-of-the-art AI/ML solutions to unlock valuable insights from unstructured banking documents.
  • Build document parsers to assist with the analysis of challenging document types to better inform customers of market conditions.
  • Build document classifiers to improve the reliability and speed of data ingestion processes.
  • Build, deploy and maintain new and existing AI/ML solutions.
  • Participate in the end-to-end software development of new feature functionality and design capabilities.
  • Write clean, testable, and maintainable code.
  • Establish meaningful criteria for evaluating algorithm performance and suitability.
  • Optimize processes and make informed tradeoffs across speed, performance, cost-effectiveness, and accuracy.
  • Interact with internal domain experts, product managers, engineers, and designers.
  • Keep up to date with AI/ML best practices and evolving open-source frameworks.
  • 3+ years of professional experience writing production-ready code in a language such as Python.
  • 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.
  • At least 3 years experience in hands-on development of machine learning models using frameworks like Pytorch and TensorFlow.
  • At least 1 year focused on generative AI using techniques such as RAG, Agentic AI, and Prompt Engineering.
  • Strong communication skills and experience collaborating cross-functionally with product, design, and engineering.
  • Proficient working in cloud environments (GCP preferred), contributing to containerized applications (Docker, Kubernetes), and creating APIs using FastAPI, Flask, or other frameworks.
  • Hands-on experience with Databricks, BigQuery or comparable big data systems.
  • Strong SQL skills, bonus points for familiarity with dbt.
  • Familiarity with Claude and/or Gemini.
  • Proactive and innovative, with the ability to explore uncharted solutions and tackle challenges that don’t have predefined answers.
  • Unlimited PTO.
  • $1,000 Learning & Development Fund.
  • Remote-First Environment.
  • Comprehensive medical, dental, and vision insurance package.
  • 401(k) for contributions.
  • Free Equinox Membership or $1,650 Annual Fitness Fund.
  • 12 weeks off 100% paid leave for primary caregivers, 4 weeks for secondary caregivers.
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