ML Engineer
Lessen is the tech-enabled, end-to-end property service provider that is transforming how commercial and residential real estate services are delivered and managed at scale.
Lessen is the tech-enabled, end-to-end property service provider that is transforming how commercial and residential real estate services are delivered and managed at scale. Lessen’s technology platform provides data-driven insights that unlock key growth opportunities for the entire real estate ecosystem—including investors, owners, managers, and service providers. The company leverages a network of over 30,000 vetted, qualified vendors (Lessen Affiliates) serving clients with over 1 million properties and completing more than 3.5 million work orders annually across an expanding range of services. Lessen, LLC is a venture-backed, privately held company with offices in Scottsdale and Chicago.
The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a competitive advantage and efficiency. You will work closely with cross-functional teams to build intelligent systems that solve real-world problems using machine learning, deep learning, and data science techniques.
This is a hybrid position, Tuesday and Thursday in the office.
What You'll Do:
Design, deploy, fine-tune, and evaluate large language models (LLMs); develop effective prompting strategies to optimize performance for various business use cases.
Improve data quality by cleaning the company’s data and sourcing information from new data sources.
Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools.
Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areas
such as copilot systems, intelligent voice assistants, and work order processing optimization.
Collaborate cross-functionally with teams to develop, refine, and scale data-driven procedures and workflows.
Foster a positive team environment.
Ensure confidentiality and integrity of internal and external data.
Perform ad-hoc projects and other duties as assigned.
You Should Have:
Minimum Qualifications
PhD or Master’s degree in Math, Physics, Statistics, Computer Science, or other related fields
1-3 years of experience as a data scientist, working closely within a business
Strong mathematical and statistical skills
Posted July 29, 2026