ZipRecruiter

Log In

2

Remote Nvidia Deep Learning Jobs in Utah (NOW HIRING)

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Strong proficiency with Python and PyTorch or similar deep learning frameworks. * Experience ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Strong proficiency with Python and PyTorch or similar deep learning frameworks. * Experience ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

LoanPro

Enterprise Account Executive

Farmington, UT · On-site +1

Take ownership of deep learning about our software, its functions, and how it fulfills our ... Remote work can be conducted at managers discretion and in accordance with company hybrid policy.

Healthcare

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

... to build world class deep learning models * Integrating AI models into software pipelines ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

Solventum

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

... to build world class deep learning models * Integrating AI models into software pipelines ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

GearUp2Success

Leadership and Marketing

Magna, UT · On-site +1

Leadership Development Opportunity Remote & Flexible Performance-Based Earnings Are you passionate ... Marketing transformative e-learning and personal growth programs * Develop in-demand digital ...

Canopy

Senior Application Security Engineer

Draper, UT · Remote

$107K - $146K/yr

Interested in learning more about Canopy & the industry? Check out our blog here where you can find ... This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ...

DigiCert

Software Engineering Manager

Lehi, UT · On-site +1

Develop a deep understanding of PKI products, architecture, and systems. * Understand compliance ... Access to LinkedIn Learning and continuous learning resources * Employee referral bonus program and ...

next page

Showing results 1-20

All JobsNvidia Deep Learning JobsRemote Nvidia Deep Learning JobsRemote Nvidia Deep Learning Jobs in Utah

Remote Nvidia Deep Learning information

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What are popular job titles related to Remote Nvidia Deep Learning jobs in Utah?

For Remote Nvidia Deep Learning jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Nvidia Deep Learning jobs in Utah look for?

The top searched job categories for Remote Nvidia Deep Learning jobs in Utah are:

What cities in Utah are hiring for Remote Nvidia Deep Learning jobs?

Cities in Utah with the most Remote Nvidia Deep Learning job openings:

Remote Nvidia Deep Learning jobs near you

Senior Machine Learning Engineer

Entrata

Lehi, UT • On-site, Remote

$144K - $233K/yr

Full-time

Re-posted 9 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 245 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.
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.

What Entrata employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom