Machine Learning Engineer II

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.

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

Programming Languages: SQL, Python

Understanding of ETL tools and database architecture

Familiarity with pytorch, pandas and cloud platform 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 (e.g. 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

Process Orientation – Advanced

Negotiation - Advanced

Why Lessen:

Competitive compensation

Health, Dental, Vision, Life, Disability options

401K retirement savings plan

Paid vacation, federal and floating holidays

Maternity/Paternity Pay

Career advancement opportunities

All the tools you'll need to be successful

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.