Senior Machine Learning Engineer - Entrata

Job Title: Senior Machine Learning Engineer
Job Location: Lehi, Utah
Job Listing URL: https://jobs.lever.co/entrata/d579bade-723d-4429-a1cb-565d15f3dff7
Job Description: Since its inception in 2003, driven by visionary college students transforming online rent payment, Entrata has evolved into a global leader serving property owners, managers, and residents. Honored with prestigious awards like the Utah Business Fast 50, Silicon Slopes Hall of Fame - Software Company - 2022, Women Tech Council Shatter List, our comprehensive software suite spans rent payments, insurance, leasing, maintenance, marketing, and communication tools, reshaping property management worldwide.

Our 2200+ global team members embody intelligence and adaptability, engaging actively from top executives to part-time employees. With offices across Utah, Texas, India, Israel, and the Netherlands, Entrata blends startup innovation with established stability, evident in our transparent communication values and executive town halls. Our product isn't just desirable; it's industry essential. At Entrata, we passionately refine living experiences, uphold collective excellence, embrace boldness and resilience, and prioritize different perspectives, endeavoring to craft a better world to live in.

Entrata is revolutionizing property management through advanced AI and machine learning. As a Senior ML Engineer, you’ll drive the development and optimization of our AI/ML platform, collaborating with cross-functional teams to design, build, and deploy innovative AI-powered solutions for enterprise-scale products. If you thrive in fast-paced, collaborative settings and excel at turning complex AI concepts into impactful business solutions, we want you on our team.
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.
Minimum Qualifications
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.