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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. We are seeking a Senior Machine Learning Engineer to help build and scale Entrata’s applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management use cases, building reliable model training and evaluation pipelines, and deploying AI systems into production. 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? We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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. This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity. Level - P4
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.