AI ML Engineer, dv01
$145-160k
More information about location
A data hub between lenders and capital markets
Be an early applicant
A data hub between lenders and capital markets
101-200 employees
Be an early applicant
$145-160k
More information about location
101-200 employees
Company mission
To unlock the value data by building the most comprehensive structured products data library and analytical tools to transform workflows.
Role
Who 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
What the job involves
- 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
Our take
Analyzing and utilizing huge data sets is a laborious process for investors and the consumer lending industry. Sifting through databases with tens of thousands of cells is already tedious, and the analysis of international data through archaic technology presents further complications.
dv01 believes these challenges have the potential to result in a financial endemic. It aims to solve it through end-to-end data management, reporting, and analytic solutions designed bespoke for mortgage and consumer lending markets.
Whilst there are competitors offering similar, individual services in this space, dv01 stands out by providing an end-to-end platform. This has been successful in attracting over 400 companies including Redwood Trust, Lending Club, and Western Asset.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2021
$6m
SERIES B
Jan 2019
$15m
SERIES B
Total funding: $36.5m
Company benefits
- In-Person Team Building Events & Annual Company Offsite
- Peer Recognition program
- Virtual Coffees & Hangouts
- Remote Work with Office Space in New York
- Cultural Awareness and Impact Events
- Free All-Access Equinox Pass or Health and Wellness Stipend
- Virtual Team Workouts
- Nearly 100% Paid Health Insurance
- Unlimited PTO
- Free One Medical Membership
- Entrepreneur Panel Discussions
- Lunch & Learns
- Prototype Days
- Learning and Development Allowance
- 401(k) Plan via Guideline
Company HQ
Flatiron District, New York, NY
Leadership
Perry Rahbar
(Founder & CEO)Previously the Managing Director at Bear Sterns and then Executive Director at JP Morgan. Co-founded Everyday Hospitality which continues to operate. Current Board Member at Structured Finance Association.
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