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Machine Learning Engineer Quantization Jobs in Las Vegas, NV

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering, feature engineering, and MLOps/DataOps practices. * Implement modern engineering standards, including ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

A Senior Data Engineer is responsible for designing, building, and managing data platforms and ... Experience with machine learning pipelines and production deployment (preferred) * Hands-on ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Programming and debugging embedded systems and control algorithms. * Analyzing system failures and ... Knowledge of the Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Showing results 41-60

Machine Learning Engineer Quantization information

See Las Vegas, NV salary details

$30.1K

$123K

$184.8K

How much do machine learning engineer quantization jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer quantization in Las Vegas, NV is $122,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

What are some common challenges machine learning engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a machine learning engineer quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What does a machine learning engineer quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What are popular job titles related to Machine Learning Engineer Quantization jobs in Las Vegas, NV?

For Machine Learning Engineer Quantization jobs in Las Vegas, NV, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Quantization jobs in Las Vegas, NV look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in Las Vegas, NV are:

Infographic showing various Machine Learning Engineer Quantization job openings in Las Vegas, NV as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,986 per year, or $59.1 per hour.

$121K - $162K/yr

Full-time

Dental, Vision, Life, Retirement

Re-posted 4 days ago


MGM Resorts rating

7.2

Company rating: 7.2 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

11th of 52 rated entertainment


Job description

Las Vegas, Nevada
The SHOW comes alive at MGM Resorts International
Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.
THE JOB:
The Senior Data Engineer provides technical leadership in the architecture, development, and operational management of enterprise data platforms and integration services that enable data-driven decision-making across the organization. This role is accountable for designing and delivering scalable, secure, and high-performance data solutions, overseeing the full lifecycle of data engineering initiatives from strategy and architecture through implementation, deployment, and production support. The Senior Data Engineer partners with business and technology stakeholders to advance enterprise data capabilities while ensuring compliance with departmental standards and MGM Resorts' policies, practices, and procedures.
THE DAY-TO-DAY:
  • Lead the end-to-end design, development, deployment, and support of scalable, production-grade data integration and engineering solutions.
  • Create and maintain technical designs and documentation aligned with business requirements, data architecture, and enterprise standards.
  • Collaborate with technology leadership to evaluate and implement new tools, technologies, and best practices that improve platform performance and user experience.
  • Partner with Product Management and business stakeholders to deliver data solutions that meet business objectives and design requirements.
  • Build strong cross-functional relationships, effectively communicating technical solutions and driving stakeholder alignment.
  • Mentor junior engineers, guide architectural decisions, and balance technical tradeoffs to deliver reliable and intuitive data products.
  • Drive operational excellence through monitoring, optimization, troubleshooting, and ongoing support of data platforms and services.

THE IDEAL CANDIDATE:
  • 8+ years of experience delivering enterprise data integration, data engineering services, and data platform solutions that support analytics, reporting, operational, and AI-driven business initiatives.
  • Design, develop, and support scalable data pipelines, Lakehouse architectures, and data products that enable analytics, reporting, AI, and machine learning initiatives.
  • Build and optimize enterprise data platforms using Databricks, Spark, Delta Lake, and Azure cloud services, ensuring performance, scalability, reliability, and cost efficiency.
  • Develop and maintain ELT/ETL frameworks, data models, and governance capabilities, including data quality, lineage, observability, security, and compliance.
  • Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering, feature engineering, and MLOps/DataOps practices.
  • Implement modern engineering standards, including CI/CD, Infrastructure as Code (IaC), testing, monitoring, and automation.
  • Collaborate with business and technology stakeholders to deliver data solutions aligned with enterprise objectives and strategic roadmaps.
  • Provide technical leadership through architecture reviews, mentoring, and the promotion of engineering best practices across the organization.

THE PERKS & BENEFITS:
  • Wellness incentive programs to help you stay healthy physically and mentally
  • Access to company hotel, food and beverage, retail, and entertainment discounts as well as discounts with company partners on things like travel, electronics, online shopping, and more
  • Free meals in our employee dining room
  • Free parking
  • Health & Income Protection benefits (for eligible employees)
  • Professional and personal development through programs and networking opportunities as well as volunteer opportunities in the community

VIEW JOB DESCRIPTION:
https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=11494
Pay Range:
The pay range for this role is:
$121,700.00 - $162,200.00
This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location.
This position is eligible to participate in the Company's incentive plan.
This position is eligible to participate in the Company's equity plan.
Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership.
Are you ready to JOIN THE SHOW? Apply today!

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About MGM Resorts

Sourced by ZipRecruiter

MGM Resorts International (NYSE: MGM) is an S&P 500® global gaming and entertainment company with national and international locations featuring best-in-class hotels and casinos, state-of-the-art meetings and conference spaces, incredible live and theatrical entertainment experiences, and an extensive array of restaurant, nightlife and retail offerings. MGM Resorts creates immersive, iconic experiences through its suite of Las Vegas-inspired brands. The MGM Resorts portfolio encompasses 31 unique hotel and gaming destinations globally, including some of the most recognizable resort brands in the industry. The Company's 50/50 venture, BetMGM, LLC, offers U.S. sports betting and online gaming through market-leading brands, including BetMGM and partypoker, and the Company's subsidiary, LeoVegas AB, offers sports betting and online gaming through market-leading brands in several jurisdictions throughout Europe. The Company is currently pursuing targeted expansion in Asia through the integrated resort opportunity in Japan. Through its “Focused on What Matters: Embracing Humanity and Protecting the Planet” philosophy, MGM Resorts commits to creating a more sustainable future, while striving to make a bigger difference in the lives of its employees, guests, and in the communities where it operates. The global employees of MGM Resorts are proud of their company for being recognized as one of FORTUNE® Magazine's World's Most Admired Companies®

Industry

Hospitality services

Company size

10,000+ Employees

Headquarters location

Paradise, NV, US

Year founded

1962