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Senior Machine Learning Engineer

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: Entrata
Part Time position
Listed on 2025-10-29
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 227000 USD Yearly USD 140000.00 227000.00 YEAR
Job Description & How to Apply Below

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
  • Bachelor’s degree (or higher) in Computer Science or a related field
  • At least 3 years of hands‑on experience building AI/ML solutions
  • Advanced proficiency in Python with strong programming skills
  • Solid foundation in data science, statistics, and data analysis techniques
  • Strong problem‑solving skills with both creative and strategic thinking
  • Excellent communication skills and a proven ability to collaborate across teams
Preferred Qualifications
  • Experience with AWS Sage Maker
  • Prior experience with AI applications such as RAG, Agentic AI, Lang Graph, Prompt Tuning, and Evaluation
  • Experience with MCP
  • Track record of designing and deploying enterprise‑scale AI systems
  • Familiarity with modern ML engineering best practices (e.g., CI/CD for ML, model monitoring, and governance)

$140,000 - $227,000 a year

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…

Position Requirements
10+ Years work experience
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