Entrata

Senior Machine Learning Engineer

Lehi, Utah, U.S.

Full-Time

Hybrid

$144,000 – $233,100 per year

TLDR

Fine-tune Forge and domain-specific foundation models while building agentic AI systems, scalable ML pipelines, and evaluation frameworks for intelligent automation.

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.

Following the launch of Forge, Entrata’s proprietary AI platform, we are looking for a Senior Machine Learning Engineer to drive the next generation of our applied AI capabilities. You will play a central role in fine-tuning Forge, optimizing domain-specific foundation models, and engineering robust ML pipelines that power intelligent automation for millions of residents and property managers worldwide.

Responsibilities

Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine-tuning and other post-training techniques.

Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model training and evaluation.

Develop agentic AI systems that can reason across multi-step workflows, use tools, retrieve context, and operate reliably in production.

Build evaluation frameworks and benchmarks to measure model quality, safety, reliability, and task performance.

Optimize model inference, serving, and deployment for performance, cost, and scalability.

Partner with engineering, product, and data teams to integrate AI capabilities into Entrata products and workflows.

Help establish best practices for model experimentation, fine-tuning, evaluation, and deployment.

Minimum Qualifications

5+ years of software engineering or machine learning engineering experience.

Hands-on experience fine-tuning, adapting, or deploying large language models.

Strong proficiency with Python and PyTorch or similar deep learning frameworks.

Experience building ML data pipelines, training workflows, and evaluation systems.

Experience deploying machine learning models into production environments.

Familiarity with modern LLM tooling, model serving, and inference frameworks.

Strong understanding of machine learning fundamentals and model performance tradeoffs.

Preferred Qualifications

Experience with supervised fine-tuning, preference optimization, or related post-training techniques.

Experience building agentic systems, tool-using models, or retrieval-based AI applications.

Experience with distributed training or GPU-based model workloads.

Familiarity with frameworks such as vLLM, DeepSpeed, FSDP, or similar technologies.

Experience working with enterprise or domain-specific AI applications.

Bachelor’s or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience.

Benefits:

Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.

Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.

HSA/FSA options and employer-paid disability benefits provided for eligible employees.

Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.

Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.

Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.

Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.

Bi-annual swag drops for employees

Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles.

Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.

It’s a great place to work! Will you join us?

Benefits

Health Insurance

employer-paid disability benefits provided for eligible employees.

Home Office Stipend

access to an onsite gym at HQ

Employee swag drops

Bi-annual swag drops for employees

Paid Time Off

frequent company recharge days for work-life balance

Remote-Friendly

Flexible and transparent culture with remote and hybrid work options.

Wellness Stipend

employee assistance programs

Entrata

Entrata delivers a comprehensive software suite designed for property owners, managers, and residents, streamlining the property management process. Our platform integrates essential tools like rent payments, insurance, and communication to enhance the management experience. With a focus on innovation, we are reshaping how property management operates globally.

Founded: Founded 2003
Employees: 500+ employees
Industry: computer software
Total raised: $710M raised

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Senior Machine Learning Engineer