About Figure

Figure is revolutionizing financial services with its disruptive technology platform. Our flagship product is the #1 non-bank HELOC in America. We’re delivering new consumer lending products and a capital markets ecosystem that maximize efficiency and transparency – by capitalizing on our loan origination activities, extensive network of partners, and growing pool of assets.

Join a team of 450+ people at Figure who have originated $11+ billion in loan volume. We’re very profitable and growing fast!

Figure has raised $469 million from top investors like Ribbit Capital, DST, Apollo, and Morgan Creek.

FastCo Most Innovative Companies

Forbes Top 50 Blockchain Companies

About The Role

Each member of the AI Engineering team plays an integral part of what we are building at Figure.  We leverage advanced techniques in generative AI, LLMs, machine learning, and cloud platforms to streamline, automate, and optimize how Figure operates. If you are interested in working with an impressive team of AI and data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now! 

What You’ll Get To Do

• 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.

What We Look For

• 8+ years of hands on experience building and deploying NLP and ML models in real world production systems.
• Hands-on experience training, fine tuning, and/or deploying LLMs.
• Experience developing in Kotlin or a background in consumer finance is a huge plus.
• 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.  
• 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.

Salary

• Compensation Range: $176,000-$220,000/yr
• Quarterly 25% bonus target
• Equity stock options package
• This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs

Benefits

• Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans
• Company HSA, FSA, Dependent Care, 401k, and commuter benefits
• Employer-funded life and disability insurance coverage
• 11 Observed Holidays & PTO plan
• Up to 12 weeks paid family leave
• Continuing education reimbursement

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing  and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. 

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