About the role

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As an Applied Scientist on the MOAI team, you will focus on developing Agentic AI and Generative AI solutions that can reason, plan, and interact with data and tools to streamline mortgage operations. You’ll bring together LLM-based methods with classical ML models to design robust, trustworthy systems that improve how borrowers and Loan Officers experience the financing process.

Your success will be measured by your ability to break down complex problems, experiment quickly, and deliver science-driven solutions that have real impact on customers and the business.

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You Will Get To:

• Develop agentic workflows. Build intelligent agents that use LLMs, planning, and tool integration to support Loan Officers and improve borrower experiences.
• Prototype and validate. Rapidly design and test solutions with offline evaluations and online experiments, and ship the winning approaches.
• Blend approaches. Combine generative reasoning with classical ML (e.g., scoring, ranking, recommendation) for end-to-end decisioning.
• Apply cutting-edge research. Track advances in GenAI and ML, bring relevant techniques into practice, and share insights across the org.
• Communicate across functions. Clearly explain findings and trade-offs to scientists, engineers, and business partners to drive alignment.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $136,300.00 - $217,700.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $129,500.00 - $206,900.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

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Who you are

• Hands-on AI practitioner. 3+ years building and assisting in the production of AI/ML systems in Python with frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Agentic + GenAI skills. Familiar with LLMs, multi-agent systems, tool-augmented reasoning, or other GenAI methods; excited to apply them in production.
• Traditional ML foundation. Comfortable with predictive modeling and data-driven experimentation when reliability and scale are key.
• Data wrangler. Experienced with SQL and distributed tooling (Spark, Hive, Databricks) for large-scale, messy data.
• Engineering mindset. Strong coding practices, including Git, CI/CD, testing, and code reviews.
• Collaborative communicator. Able to translate technical depth for varied audiences and build trust across disciplines.

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