Senior Engineer - Machine Learning

Are you looking for an opportunity to bring your unique skills and experiences to a leading commercial loan servicer?

As a ​Senior Engineer, Machine Learning​ at Berkadia, you’ll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates. Berkadia now has a dedicated machine learning team and an established generative AI system — Berkie — which is transforming the way Berkadians work. In this role, you will contribute directly to expanding and improving Berkie, building on top of proprietary company data to create intelligent systems that drive operational efficiency, enhance workflows, and generate revenue. 

You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines to agentic systems, intelligent document processing, and generative AI applications. This is a high-impact position for someone passionate about applying AI to real-world problems, who thrives in a collaborative environment and stays ahead in a fast-moving field. 

Join Berkadia's loan servicing platform and learn from the best of the best at the largest U.S. non-bank commercial mortgage servicer in the industry. We provide the personal and professional development opportunities you need to impact the commercial real estate industry, build a career that takes the long view, and reach your full potential. Be Your Best Self. Be Berkadia.

• →Design, implement, and maintain production-ready machine learning systems using both generative and traditional techniques. 
• →Architect end-to-end AI solutions for use cases such as intelligent document processing, agentic systems, and information retrieval. 
• →Drive the continued development of Berkie, Berkadia’s generative AI platform, ensuring it delivers meaningful access to proprietary data and supports efficiency and growth across the business. 
• →Collaborate with cross-functional teams — including product, engineering, and data — to identify impactful problems and translate them into scalable AI solutions. 
• →Write maintainable, high-quality code using Python and modern cloud infrastructure; use notebooks as needed for experimentation and rapid iteration. 
• →Establish and contribute to best practices in MLOps, including model deployment, monitoring, observability, and continuous improvement. 
• →Participate in peer reviews, design discussions, and team learning sessions to foster transparency and knowledge-sharing. 
• →Document system designs, decisions, and outcomes to improve clarity and reproducibility across the team. 
• →Stay up-to-date with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are essential to success in this role. 
• →Take initiative, share wins, and work with purpose — we value engineers who care deeply about their craft and their impact on others. 

• 6+ years of professional software development experience, with a focus on Python.
• Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering).
• Required experience designing and building AI agents, including tool use, orchestration, memory/context management, and workflow automation.
• Required experience building AI evaluation harnesses to test, measure, monitor, and improve agent and LLM application quality.
• Familiarity with cloud infrastructure and MLOps practices (deployment, monitoring, observability).
• Experience working with unstructured and semi-structured data, including transforming it into structured formats via machine learning.
• React frontend development skills/Javascript are a plus.
• Experience with Agile methodologies and CI/CD practices.
• Bachelor’s degree in Computer Science or another STEM field with heavy analytics focus preferred 

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