Senior Machine Learning Engineer at Entrata

Lehi, Utah, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Property Management, Real Estate, SoftwareIndustries

Requirements

5–10 years of core software development experience
Minimum 3 years designing, building, and deploying AI/ML solutions in production environments
Bachelor’s degree or higher in Computer Science or a related technical field
Advanced proficiency with Python and common ML/AI frameworks (TensorFlow, PyTorch, etc.)
Deep understanding of data science, statistics, and data analysis best practices
Experience in handling NLP tasks and deploying large language models (LLMs) is a significant advantage
Hands-on experience with major cloud platforms (GCP or AWS)
Proven ability to solve complex problems strategically and creatively
Excellent communication, teamwork, and leadership skills
Self-starter who thrives in a dynamic, fast-paced environment
Preferred Qualifications
Master’s or Ph.D. in Computer Science, Data Science, or related fields
Demonstrated success leading complex AI/ML projects from concept through to deployment
Experience in a startup or high-growth technology environment
Familiarity with MLOps and production-grade ML pipelines
Prior experience collaborating with remote or distributed teams

Responsibilities

Research, design, and develop AI-driven applications, algorithms, and models that tackle complex business challenges and drive operational improvements
Build and deploy intelligent AI systems and agents that can operate autonomously or semi-autonomously, plan, learn, adapt, and ensure alignment with safety, ethics, and organizational goals
Collect, preprocess, and analyze data to extract valuable insights and inform AI solution development
Collaborate with engineers, product teams, and other stakeholders to seamlessly integrate AI components into existing systems or create new AI-powered applications
Monitor, tune, and optimize machine learning models for efficiency, scalability, robustness, and reliability
Stay current with advances in AI and machine learning, and evaluate new tools or methodologies to enhance our products and services
Develop and conduct comprehensive testing and validation to ensure AI solutions meet business requirements and quality standards
Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to gather requirements and deliver solutions that align with strategic objectives
Mentor junior team members and contribute to a culture of learning and technical excellence

Skills

Machine Learning

Algorithms

Models

Data Preprocessing

Data Analysis

AI Deployment

Autonomous Agents

Entrata

Property management software with integrated tools

About Entrata

Entrata provides property management software that simplifies the management of apartment communities. Its platform offers a single-login access to various online tools, including websites, mobile apps, payment processing, lease signing, accounting, and resident management. This software allows property management companies to operate more efficiently by integrating with third-party applications through an open API, enabling customization of their technology solutions. Unlike many competitors, Entrata focuses on creating a comprehensive suite of tools that enhance both operational efficiency and resident experiences. The goal of Entrata is to streamline property management processes and improve the overall experience for both property managers and residents.

Lehi, UtahHeadquarters

2003Year Founded

$493.2MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, Real EstateIndustries

1,001-5,000Employees