Senior Data Scientist
Figure uses blockchain technology to provide lending, trading, and investment solutions for consumer credit and digital assets.
Funding history
Investors
About Figure
Figure operates a vertically integrated blockchain-based capital markets platform for consumer assets and digital assets. The platform enables home equity lending, crypto-backed loans, tokenized asset trading, and yield-generating products through the Provenance Blockchain. Figure serves consumers, institutional partners, and investors across the United States.
Skills
About the Role
You will develop and apply machine learning and AI across products, including document intelligence, multimodal systems, and foundation model adaptation. You'll own the full ML lifecycle, build reusable components for multiple teams, and partner with engineers on deployment and monitoring.
Requirements
- Bachelor's or advanced degree in a technical field or equivalent experience
- 5+ years developing machine learning solutions
- Strong Python programming and software engineering
- Foundations in ML, statistics, algorithms, and experimental design
- Experience with PyTorch or TensorFlow
- Experience fine-tuning transformer, vision, or multimodal models
- Experience with GPUs
- Ability to work with large imperfect datasets
- Ability to own open-ended problems
- Strong communication and collaboration
- Master's or PhD (preferred)
- Distributed training and model optimization (preferred)
- Production ML deployment (preferred)
- Adhere to company security policies and complete security training
Responsibilities
- Identify high-impact machine learning and AI opportunities with business teams
- Design, train, fine-tune, and evaluate ML and deep-learning models
- Work with foundation models across language, vision, and multimodal applications
- Develop datasets, features, training pipelines, and evaluation frameworks
- Run experiments on GPU infrastructure
- Compare modeling approaches and make recommendations
- Build reusable modeling components and standards
- Build reproducible, testable production-ready models
- Partner with engineers on deployment and monitoring
- Communicate results and tradeoffs to stakeholders
- Stay current with ML advances
- Turn ambiguous business needs into ML problems
- Raise technical standards for experimentation and evaluation
Benefits
- Medical, dental, and vision coverage with 100% employer-paid premiums on select plans
- HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits
- Employer-paid life and disability insurance
- 11 observed holidays and PTO plan
- Up to 12 weeks of paid family leave
- Continuing education reimbursement
- 25% annual bonus target, paid quarterly
- Company equity in the form of RSUs
