Remote opportunity at
FigureSenior Data Scientist
Figure is seeking a Senior Data Scientist to design and apply machine learning and artificial intelligence models across multiple products and business challenges. Recognized as a…
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About This Role
Figure is seeking a Senior Data Scientist to design and apply machine learning and artificial intelligence models across multiple products and business challenges. Recognized as a market leader in real-world asset tokenization, Figure operates a blockchain-native capital marketplace supporting loan origination, credit, asset custody, and yield-bearing stablecoins. In this position, the professional will build multimodal systems, handle document intelligence, and adapt foundation models using proprietary data to support regulated financial…
Job Description
Figure is seeking a Senior Data Scientist to design and apply machine learning and artificial intelligence models across multiple products and business challenges. Recognized as a market leader in real-world asset tokenization, Figure operates a blockchain-native capital marketplace supporting loan origination, credit, asset custody, and yield-bearing stablecoins. In this position, the professional will build multimodal systems, handle document intelligence, and adapt foundation models using proprietary data to support regulated financial workflows.
The role involves managing the full machine learning lifecycle, creating reusable AI components that scale across various teams, and collaborating closely with engineering, product, and operations units. Candidates should possess strong computer science fundamentals, a background in experimental design, and the ability to turn complex research into production-grade systems.
Responsibilities
- Identify high-impact artificial intelligence and machine learning opportunities alongside product, engineering, and business groups.
- Design, train, fine-tune, and evaluate deep-learning and machine learning models across language, vision, and multimodal applications.
- Develop reliable datasets, training pipelines, features, and evaluation frameworks while running efficient experiments on graphics processing unit infrastructure.
- Compare alternative modeling techniques and deliver recommendations informed by empirical outcomes and business results.
- Construct reusable modeling frameworks, components, and patterns to accelerate projects across different teams.
- Partner with software and machine learning engineers to handle deployment, monitoring, reliability, and ongoing model enhancements.
- Communicate experimental results, technical limitations, and trade-offs clearly to both technical and non-technical audiences.
- Adhere strictly to corporate security policies, finish mandatory training on time, and report potential security incidents immediately.
Requirements
- At least 5 years of professional experience building machine learning solutions beyond initial experimentation stages.
- Solid programming skills and software engineering expertise with a strong emphasis on Python.
- Deep foundations in statistics, algorithms, data structures, experimental design, and machine learning principles.
- Hands-on practice utilizing deep-learning frameworks such as TensorFlow or PyTorch.
- Experience training or fine-tuning transformer, vision, or multimodal models.
- Familiarity operating with graphics processing units while understanding practical limitations tied to model inference and training.
- Demonstrated capacity to manage complex, open-ended problems independently from initial research through final implementation.
Qualifications
- Bachelor's or advanced degree in Applied Mathematics, Machine Learning, Electrical Engineering, Computer Science, or a related technical discipline.
- Master's degree or PhD in Machine Learning, Computer Science, or a related field.
- Experience with distributed training, parameter-efficient fine-tuning, quantization, or model optimization.
- Experience deploying and tracking machine learning models in production environments.
- Familiarity with cloud infrastructure, modern machine learning development platforms, and distributed data processing.
- Experience building artificial intelligence systems within regulated, high-stakes, or risk-sensitive industries.
- Contributions to open-source initiatives, applied research, patents, or production-ready artificial intelligence products.
Core Skills
Benefits
- Comprehensive medical, dental, and vision insurance coverage with 100% employer-paid premiums for employees and dependents on select plans.
- Company-sponsored health savings account, flexible spending account, dependent care flexible spending account, 401(k), and commuter benefits.
- Employer-paid life insurance and disability coverage.
- 11 observed holidays and a paid time off plan.
- Up to 12 weeks of paid family leave.
- Continuing education reimbursement.
- Annual bonus target of 25% paid quarterly, alongside company equity via restricted stock units.
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the Senior Data Scientist position?
The base compensation range is USD 132,000 to 198,000 per year, accompanied by a 25% annual bonus target paid quarterly and company equity in the form of restricted stock units.
Is this a remote role?
Yes, the source posting lists the location and remote status as remote.
What level of experience is required for applicants?
Applicants must have at least five years of experience developing machine learning solutions, along with strong programming skills in Python and a relevant technical degree or equivalent practical experience.
Does Figure offer visa sponsorship for this job?
No, Figure will not sponsor work visas for this position.
Sample Interview Questions
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