Machine Learning Engineer II
Listed on 2026-06-03
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist
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 sen’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.
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.
Minimum Qualifications
- Ph.D. 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 context.
- Strong mathematical and statistical skills.
- Programming languages: SQL, Python.
- Understanding of ETL tools and database architecture.
- Familiarity with PyTorch, pandas, and cloud platforms like AWS, Azure, and GCP.
- Prompt engineering experience.
- Experience using a machine learning framework e.g., scikit-learn, PyTorch or similar.
- Experience with a statistical software such as R, SAS.
- Experience with natural language processing.
- Advanced knowledge of Data Warehousing and BI best practices.
- Experience with big data tools such as Spark, Hadoop, etc.
- Experience with Tableau or Superset.
These are the professional skills we would expect from an individual fully established in this role.
- Verbal Communication – Proficient
- Written Communication – Proficient
- Teamwork – Advanced
- Relationships – Advanced
- Organizational Awareness – Advanced
- Learning Agility – Advanced
- Analysis – Advanced
- Problem Solving – Advanced
- Process Orientation – Advanced
- Prioritization – Advanced
- Customer Service – Proficient
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