Principal Machine Learning Engineer

Status
San Francisco, USA
Full time
Office
Compensation is not specified
Role
Machine Learning Engineer
Description

About Figure

At Figure, we are revolutionizing the financial services industry using blockchain technology. In just five years, we have introduced groundbreaking fintech innovations across multiple sectors, such as loan origination, equity management, private fund services, banking, and payments. Our mission is to bring speed, efficiency, and cost savings to both individuals and institutions. We are proud to be recognized as a global unicorn company, with less than a thousand companies achieving this status.

We foster a creative, team-oriented, and supportive environment where everyone can excel. Our team consists of driven, innovative, collaborative, and curious individuals who love working with groundbreaking technologies. We value an entrepreneurial mindset and a culture of innovation.

Every day at Figure is an opportunity for continuous learning and making a meaningful impact. Join our team of proven leaders who have already generated billions of dollars in value in the FinTech space!

Forbes Top 50 Blockchain Companies Figure Series D Announcement

About the Role

As a member of the AI Engineering team at Figure, you will play a crucial role in our company's development. Utilizing advanced techniques in generative AI, LLMs, machine learning, and cloud platforms, you will streamline, automate, and optimize Figure's operations. If you enjoy collaborating with a talented group of AI and data professionals, challenging one another, and solving interesting problems to drive the company's growth, we encourage you to apply!

What You'll Do

  • Create and enhance generative AI technologies to optimize Figure's processes
  • Train, fine-tune, and deploy LLM solutions using our proprietary data
  • Develop custom models and algorithms for large datasets and establish processes to monitor and analyze their performance
  • Employ data mining and analysis to build and train ML models that enhance customer experiences, customer acquisition, underwriting, and other business outcomes
  • Collaborate with stakeholders throughout the organization to identify opportunities for leveraging AI in business processes
  • Work cross-functionally to deploy AI solutions and track their outcomes

What We Look For

  • 8+ years of hands-on experience building and deploying NLP and ML models in real-world production systems
  • Proficiency in training, fine-tuning, and deploying LLMs
  • Bonus points for experience in Kotlin development or a background in consumer finance
  • Strong problem-solving skills, with the ability to translate real-life problems into an effective model development strategy
  • Blend academic rigor with practicality to rapidly prototype and deliver solutions
  • Proficiency in Python for analysis and modeling
  • Experience with web services (GCP, AWS) and distributed data/computing tools (Ray, Spark, Map/Reduce, Hadoop, Hive, etc.)
  • Excellent communication skills to collaborate effectively with cross-functional teams
  • Ability to thrive in a fast-paced environment

Benefits and Perks

  • Competitive salary and opportunities for growth
  • Company quarterly performance-based bonus
  • Equity stock options package
  • Comprehensive health, vision, dental insurance, and wellness program for employees and their dependents (employer-funded)
  • Employer-funded life and disability insurance coverage
  • Company HSA, FSA, Dependent Care, 401k, and commuter benefits
  • Up to 12 weeks of paid family leave
  • Options for in-office, remote, or hybrid work locations
  • Home office and technology stipend for remote employees
  • Flexible time-off plan to support work-life balance
  • Continuing education reimbursement
  • Routine team swag deliveries!

(Note: Salary range for CO, NY, CA, and WA residents is $176,000 - $220,000/year, and compensation may vary based on individual experience and location)

Depending on your residential location, specific laws may govern how Figure handles applicant data. For California residents, please refer to our California Employee and Prospective Employee Privacy Notice for further information. By submitting your application, you acknowledge that you have read and understood the notice.

Figure does not sponsor work visas for this position. All hires will be required to verify their identity and eligibility to work in the United States, and complete the necessary employment eligibility verification form upon hire.

#LI-SB1

Skills Required
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Figure
Company size
Not specified
Location
United States
Description
Not specified
Status

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