Principal AI Engineer

About the role

This Principal AI Engineer role focuses on developing and optimizing generative AI technologies to enhance Figure's fintech operations. The work involves training, fine-tuning, and deploying LLM solutions using proprietary data, as well as creating custom models and algorithms for large datasets. A key aspect is monitoring and analyzing the performance of these deployed solutions.

The position requires collaboration with various stakeholders across the organization to identify and leverage AI opportunities for improving business processes. This includes working cross-functionally to deploy AI solutions and track their outcomes. The goal is to apply advanced AI to streamline, automate, and optimize Figure's offerings.

Success in this role means translating real-world business challenges into concrete model development strategies. It involves a blend of academic rigor with a practical approach to rapidly prototype and deliver solutions. The ideal candidate will contribute to transforming financial services using blockchain technology by applying AI to areas like customer experience, acquisition, and underwriting.

The salary for this position ranges from $176,000 to $220,000 annually.

Skills that matter here

• generative AI: This role will develop and optimize generative AI technologies to streamline and automate financial services.
• LLMs: The engineer will train, fine-tune, and deploy Large Language Model solutions using the company's data.
• machine learning: The position involves building and training machine learning models from data to optimize various business outcomes.
• cloud platforms: Experience with cloud services like GCP and AWS is required for deploying AI solutions.
• Python: This role requires experience using Python for analysis and modeling tasks.
• Spark: Experience with distributed computing tools like Spark is needed for processing large datasets.

Who this role suits

• A person with over eight years of hands-on experience building and deploying NLP and ML models in production systems.
• Someone who can translate complex real-life problems into clear model development strategies.
• An individual who can rapidly prototype and deliver solutions, balancing theoretical knowledge with practical application.
• A professional who thrives in a fast-paced environment and possesses strong cross-functional communication skills.

From the employer

What You’ll 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.

Benefits and Perks

• 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!