AI Developer

Bayview Asset Management • New York, NY

5h • $115,000 - $135,000 • Onsite

About The Position

Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets.

We are seeking a highly motivated engineer to join our BAM AI Team. This role offers a unique opportunity to explore and apply cutting-edge large language model (LLM) technologies in support of Bayview’s investment and operational processes. This Associate will work closely with cross-functional stakeholders, including the MSR Hedging Team, IT Engineering, and Compliance, to prototype, evaluate, and refine AI solutions that enhance efficiency, decision-making, and value creation across the enterprise.
This role is ideal for a curious, detail-oriented professional with a strong foundation in quantitative methods, a passion for emerging AI technologies, and a collaborative mindset.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Quantitative Finance, or a related field.
• 2 - 5 years of experience in data science, machine learning, or statistical modeling (mortgage industry experience is a plus).
• Strong analytical and problem-solving skills; capable of evaluating competing technical solutions based on practical constraints.
• Excellent written and verbal communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Proficiency in Python and SQL for model development and empirical analysis is required.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and AI/LLM platforms (e.g., OpenAI, HuggingFace) is strongly preferred.
• Demonstrated ability to manage multiple projects in a fast-paced, collaborative environment.

Nice To Haves

• Exposure to mortgage data, investment modeling, or financial services systems is a plus.

Responsibilities

• Research and experiment with frontier LLM and generative Al tools to explore their potential in addressing Bayview-specific investment and operational use cases.
• Build prototype solutions by identifying, fine-tuning, and integrating models using Python and other data science tools.
• Analyze the technical performance (accuracy, speed, scalability) and economic tradeoffs (compute cost, maintenance, ROI) of different model approaches.
• Work with engineering partners to translate prototypes into scalable, secure, and supportable enterprise applications.
• Collaborate with IT to develop robust and compliant deployment plans, aligned with Bayview's enterprise architecture.
• Monitor the performance and adoption of deployed Al solutions; collect usage data, troubleshoot issues, and contribute to ongoing product refinement based on feedback and impact analysis.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level