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Machine Learning Engineer Quantization Jobs in Iowa

RFA Engineering

AI Test Automation Engineer

Urbandale, IA · On-site

$90K - $150K/yr

Leverage machine learning, agentic AI, large language models, or intelligent agents to improve engineering workflows * Analyze testing data and system behavior to identify trends, inefficiencies, and ...

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

Robotics & AI Research Engineer Description Auzmor is redefining workforce training by seamlessly ... You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and ...

Pwc

CTIO AI Engineering Manager

Des Moines, IA · On-site

$73K - $244K/yr

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 ...

Pwc

NGA AI Engineer Manager

Des Moines, IA

$73K - $244K/yr

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 ...

Pwc

NGA AI Engineer Senior Manager

Des Moines, IA · On-site

$91K - $321K/yr

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 ...

General Motors

Senior AI/ML Engineer

Des Moines, IA · On-site +1

$102K - $140K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

Bausch + Lomb

AI Agent ML Engineer

Des Moines, IA

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

RFA Engineering

Embedded Software Engineer

Urbandale, IA · On-site

$70K - $120K/yr

We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and ...

Epic

Software Engineer

Des Moines, IA · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Accenture

Agentic DevOps Lead

Des Moines, IA · On-site

$70K - $205K/yr

You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you ... Key Responsibilities * Lead Agentic DevOps Strategy : Define and implement scalable DevOps ...

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Machine Learning Engineer Quantization information

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 Iowa? For Machine Learning Engineer Quantization jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Iowa look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Iowa are:
Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Iowa as of June 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Temporary. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
AI Test Automation Engineer

AI Test Automation Engineer

RFA Engineering

Urbandale, IA • On-site

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

RFA Engineering (www.rfamec.com) supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices.
This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization.
AI Test Automation Engineer
We are seeking multiple AI Test Automation Engineers to help transform and modernize software testing through the use of artificial intelligence, intelligent automation, and advanced data-driven tools. This team will focus on creating smarter, faster, and more scalable approaches to software validation by leveraging AI-assisted workflows, automation technologies, intelligent agents, and advanced analytics.
This role is ideal for engineers who enjoy solving complex problems, building innovative tools, and applying AI technologies to real-world engineering and operational challenges.
Job Responsibilities
  • Develop AI-assisted tools and workflows that improve software testing efficiency and productivity
  • Design and implement intelligent automation solutions for regression testing and validation activities
  • Create AI-enabled systems for anomaly detection, issue identification, and automated analysis
  • Build tools that assist with test planning, test execution, reporting, and diagnostics
  • Develop scripts, utilities, dashboards, and integrations that automate repetitive engineering tasks
  • Leverage machine learning, agentic AI, large language models, or intelligent agents to improve engineering workflows
  • Analyze testing data and system behavior to identify trends, inefficiencies, and optimization opportunities
  • Integrate automation tools with APIs, databases, cloud services, and existing engineering platforms
  • Collaborate with engineering, software, and test teams to understand pain points and develop scalable solutions
  • Rapidly prototype and evaluate proof-of-concept AI solutions
  • Contribute to long-term strategies focused on transforming software testing and engineering operations
  • Support continuous improvement initiatives focused on smarter and more autonomous testing processes

Required Qualifications
  • Bachelor's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or related field
  • Experience with software development, automation, or engineering tool development
  • Experience programming in Python, JavaScript, C++, or similar languages
  • Strong understanding of automation concepts, scripting, and workflow optimization
  • Experience working with APIs, data processing, or systems integration
  • Strong analytical and problem-solving skills
  • Ability to quickly learn and apply new technologies
  • Strong communication and collaboration skills

Preferred Qualifications
  • Experience with AI/ML technologies, large language models, or agentic AI systems
  • Experience building intelligent automation tools or AI-assisted workflows
  • Familiarity with machine learning frameworks, data analytics, or anomaly detection techniques
  • Experience with cloud platforms, databases, or distributed systems
  • Experience integrating with engineering or testing platforms
  • Familiarity with software testing, validation, or DevOps workflows
  • Experience with telemetry, logging, or real-time data analysis tools
  • Understanding of CI/CD pipelines and automated testing frameworks
  • Experience using AI coding assistants or AI-enhanced development tools

Desired Attributes
  • Passion for AI, automation, and emerging technologies
  • Creative mindset focused on solving problems in new ways
  • Strong curiosity and willingness to experiment with new tools and approaches
  • Self-motivated with the ability to work independently on ambiguous challenges
  • Interest in transforming traditional engineering processes through intelligent automation
  • Ability to balance rapid innovation with practical engineering solutions

Pay Range: $90,000-$150,000 - Commensurate with experience
About RFA Engineering
RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.
Competitive Benefits
  • Health and Dental Insurance
  • TelaDoc Healthiest You
  • Supplemental Vision Insurance
  • Company Paid Life Insurance
  • Company Paid Long-Term Disability
  • Short-term Disability
  • Retirement Savings Account (Traditional 401k & Roth 401k)
  • Flexible Spending Plan Dependent Care
  • HSA for Medical Expenses
  • Bonus Plan (Exempt Employees Only)
  • Paid Time Off (PTO)
  • Paid Holidays
  • Bereavement Leave
  • Employee Assistance Programs (EAP)
  • Education Assistance

Equal Opportunity and Veteran Friendly
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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