dv01 Logo

dv01

AI ML Engineer

Reposted 19 Days Ago
Remote
Hiring Remotely in USA
145K-160K Annually
Mid level
Remote
Hiring Remotely in USA
145K-160K Annually
Mid level
Design and architect AI/ML solutions, build document parsers and classifiers, maintain AI systems, and collaborate with cross-functional teams.
The summary above was generated by AI

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.
  • Stay active your way! Get $138/month to put toward your favorite gym or fitness membership — wherever you like to work out. Prefer to exercise at home? You can also use up to $1,650 per year through our Fitness Fund to purchase workout equipment, gear, or other wellness essentials.
  • New Family Bonding. Primary caregivers can take 16 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.

Top Skills

BigQuery
Databricks
Dbt
Docker
Fastapi
Flask
GCP
Kubernetes
Mlflow
Python
PyTorch
SQL
TensorFlow

Similar Jobs

Yesterday
Easy Apply
Remote
USA
Easy Apply
263K-309K Annually
Senior level
263K-309K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Staff Machine Learning Engineer will lead AI/ML initiatives, design scalable models, mentor engineers, and combat financial fraud through advanced methodologies.
Top Skills: Apache AirflowFlinkHadoopHiveKafkaKinesisPythonPyTorchSnowflakeSparkTensorFlow
Yesterday
Easy Apply
Remote
USA
Easy Apply
186K-225K Annually
Senior level
186K-225K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Senior Machine Learning Engineer, you'll lead the design, development, and implementation of ML models to detect risks like fraud and account takeovers, while mentoring junior team members and collaborating with stakeholders to translate business needs into technical solutions.
Top Skills: Apache AirflowFeature StoresKafkaModel ServingPythonPyTorchSparkTensorFlow
Yesterday
In-Office or Remote
Eden Prairie, MN, USA
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The role involves developing AI/ML models using Generative AI technologies, deploying solutions, collaborating with Pharmacy teams, and optimizing performance.
Top Skills: AzureCi/CdGitKerasLangchainLanggraphPythonPyTorchTensorFlow

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account