Principal Machine Learning Engineer
Confirmed live in the last 24 hours

201-500 employees

Blockchain-based lending & financial services
Company Overview
Figure's mission is to transform financial services through blockchain, bringing speed, efficiency, and savings to both consumers and institutions.
Financial Services
Crypto & Web3

Company Stage

Series D

Total Funding





San Francisco, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Charlotte, NC, USA
Experience Level
Desired Skills
Data Structures & Algorithms
Apache Spark
Apache Hive
Natural Language Processing (NLP)
Google Cloud Platform
AI & Machine Learning
Software Engineering
  • 8+ years of hands-on experience building and deploying NLP and ML models in real-world production systems
  • Strong knowledge of Torch, Tensorflow, embeddings, and Relus
  • Experience developing in Kotlin or a background in consumer finance is a huge plus
  • Experienced in using Python for analysis and modeling
  • Experience using web services (GCP, AWS), and distributed data/computing tools (Ray, Spark, Map/Reduce, Hadoop, Hive, etc.)
  • Excellent cross-functional communication skills
  • Ability to thrive in a fast-paced environment
  • Develop and optimize generative AI technologies to streamline, automate, and optimize Figure
  • Train, fine-tune, and deploy LLM solutions trained on our expansive proprietary data
  • Develop custom models and algorithms to apply to large datasets, as well as processes for monitoring and analyzing their performance
  • Mine and analyze data to build and train ML models that optimize customer experiences, customer acquisition, underwriting, and other business outcomes
  • Work with stakeholders throughout the organization to identify opportunities for leveraging AI to improve business processes
  • Collaborate cross-functionally to deploy AI solutions and monitor outcomes
Desired Qualifications
  • Hands-on experience training, fine-tuning, and/or deploying LLMs
  • Strong problem-solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions
  • Competitive salary and growth opportunities
  • Company quarterly performance-based bonus
  • Equity stock options package
  • Employer-funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
  • Employer-funded life and disability insurance coverage
  • Company HSA, FSA, Dependent Care, 401k, and commuter benefits
  • Up to 12 weeks paid family leave
  • In-office, remote, and hybrid work location options
  • Home office and technology stipend for those working outside of a traditional office more than 75% of the time
  • Flexible time-off plan to empower employees to take the time off that they want and need
  • Continuing education reimbursement
  • Routine Team swag deliveries!