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Remote Computer Engineer Jobs in Orem, UT (NOW HIRING)

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Akraya Inc.

Gaming Software Engineer: 25-05356

Lehi, UT · On-site +1

$101.34 - $105.63/hr

Remote as per CST time zone (Lehi, UT, US) Pay Range: $101.34 - $105.63 per hour on w-2 Job Summary ... We are looking for a highly professional and self-motivated engineer to help us achieve our ...

NRG

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

... or Computer Science or equivalent work experience 2+ years of experience in software engineering ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

NRG Energy

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

... or Computer Science or equivalent work experience 2+ years of experience in software engineering ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

DigiCert

Software Engineering Manager

Lehi, UT · On-site +1

... remote and hybrid environments. * Strong knowledge of software engineering best-practices ... Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related ...

1000memories

Software Engineer

Draper, UT · On-site +1

Master's degree in Computer Science, Software Engineering, or a related fieldStrong development experience in Python with demonstrated ability to write high-quality codeAI-assisted development ...

1000memories

Software Engineer

Draper, UT · On-site +1

Master's degree in Computer Science, Software Engineering, or a related fieldStrong development experience in Python with demonstrated ability to write high-quality codeAI-assisted development ...

LVT

Technical Support Engineer II

American Fork, UT · Remote

ABOUT THIS ROLE As a Technical Support Engineer II at LVT, you will independently troubleshoot and ... You will collaborate with other teams, partners, and customers to deliver high-quality remote ...

NRG Energy

Engineering Manager

Lehi, UT · On-site +1

... remote or hybrid teams * Foster industry best practices and technology decision making from the ... Bachelor's degree in a technical field (Computer Science preferred) * 5+ years developing software ...

NRG

Engineering Manager

Lehi, UT · On-site +1

... remote or hybrid teams * Foster industry best practices and technology decision making from the ... Bachelor's degree in a technical field (Computer Science preferred) * 5+ years developing software ...

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Showing results 21-40

All JobsComputer Engineer JobsRemote Computer Engineer JobsRemote Computer Engineer Jobs in Orem, UT

Remote Computer Engineer information

See Orem, UT salary details

$42.2K

$105.6K

$119.5K

How much do remote computer engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote computer engineer in Orem, UT is $105,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $114,300.00 per year, depending on experience, location, and employer.

What is a remote computer engineer?

A Remote Computer Engineer is a professional who designs, develops, tests, and maintains computer systems and software while working remotely. They may specialize in areas such as software development, network engineering, cybersecurity, or cloud computing. These engineers collaborate with teams using online tools, troubleshoot technical issues, and ensure systems run efficiently. Remote work allows flexibility but requires strong communication skills and self-discipline. Many companies hire remote computer engineers to reduce costs and access global talent.

What are some common challenges faced by remote computer engineers, and how can they be overcome?

Remote computer engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with colleagues, and staying motivated without direct in-person supervision. Overcoming these challenges typically involves proactive scheduling, frequent updates via team messaging tools, and focusing on structured routines to manage tasks independently. Many companies also offer virtual stand-ups, regular check-ins, and supportive remote work cultures to foster connection and keep team members engaged. With the right strategies and tools, remote engineers can collaborate effectively and thrive in their roles.

What are the key skills and qualifications needed to thrive in the remote computer engineer position, and why are they important?

To thrive as a Remote Computer Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Experience with collaboration platforms (like Git, Jira, or Slack), cloud technologies, and relevant certifications such as AWS or CompTIA Network+ is often required. Excellent time management, self-motivation, and written communication skills are crucial for successful remote work. These qualities enable consistent productivity, seamless teamwork, and effective project delivery in a decentralized environment.

What are the most commonly searched types of Computer Engineer jobs in Orem, UT?

The most popular types of Computer Engineer jobs in Orem, UT are:

What are popular job titles related to Remote Computer Engineer jobs in Orem, UT?

For Remote Computer Engineer jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Remote Computer Engineer jobs in Orem, UT look for?

The top searched job categories for Remote Computer Engineer jobs in Orem, UT are:

What cities near Orem, UT are hiring for Remote Computer Engineer jobs?

Cities near Orem, UT with the most Remote Computer Engineer job openings:

Remote Computer Engineer jobs near you
Infographic showing various Remote Computer Engineer job openings in Orem, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $105,642 per year, or $50.8 per hour.

Senior Machine Learning Engineer

Entrata

Lehi, UT • On-site, Remote

$144K - $233K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies

Job description

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.
$144,000 - $233,100 a year
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
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.
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