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Machine Learning Engineer Quantization Jobs in Iowa

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $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 ...

Pwc

CTIO AI Engineering 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 ...

Meta

IA

$193K/yr

Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Network Engineer, AI Infrastructure Repair Responsibilities: * Define and drive the long-term ...

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

$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 ...

Actalent

Controls Systems Engineer

Ames, IA · Hybrid

$50 - $65/hr

Controls Systems Engineer We are seeking a highly skilled Controls Systems Engineer with expertise ... Experience with machine learning and its practical applications. * 3+ years of experience in ...

Actalent

Controls Systems Engineer

Ames, IA · Hybrid

$50 - $65/hr

Controls Systems Engineer We are seeking a highly skilled Controls Systems Engineer with expertise ... Experience with machine learning and its practical applications. * 3+ years of experience in ...

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 ...

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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
Data Engineer

Data Engineer

RFA Engineering

Urbandale, IA • On-site

$80K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

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.
Data Engineer
As a Data Engineer, you will enable engineers, analysts, and data scientists to more effectively access, explore, and leverage enterprise data to generate insights, build models, and make data-driven decisions. This role focuses on designing scalable cloud-based data solutions, developing high-quality datasets, and creating data products that empower individual contributors to work independently with complex, high-volume data.
A key component of this role involves collaborating with embedded and digital engineering teams to define, capture, and analyze system performance, UI, and health metrics. You will help translate raw signals into actionable insights through analytics, dashboards, and monitoring tools.
Responsibilities
  • Design, build, and maintain cloud-based data pipelines and data products that support analytics, machine learning, and exploratory data analysis
  • Enable self-service data access by developing well-structured, documented, and discoverable datasets for individual contributors
  • Partner with embedded and digital engineering teams to define required performance, UI, and system health metrics and ensure appropriate data capture
  • Perform analytics and data aggregation to translate raw signals into meaningful insights and visualizations
  • Develop and maintain production-ready Python code and data workflows using SQL, PySpark, Databricks, and related technologies
  • Manage and optimize storage of diverse data types, including images, raster data, parquet files, time-series data, geo-tagged data, text, and other unstructured data
  • Build dashboards and interactive data applications using tools such as Tableau, Plotly Dash, or similar web-based visualization frameworks
  • Develop alerting and monitoring solutions (e.g., automated email notifications) to identify system performance issues or data pipeline failures
  • Collaborate in code reviews, documentation, and best-practice development to ensure maintainable and reproducible solutions
  • Manage multiple projects, priorities, and milestones while maintaining a strong sense of ownership and accountability

Requirements
  • Bachelor's degree or higher in Computer Science, Software Engineering, Data Engineering, or a related technical field, or equivalent professional experience
  • Demonstrated experience designing and implementing cloud-based data solutions in production environments
  • Strong proficiency in Python for data engineering and analytics applications
  • Experience working with data access and processing technologies such as SQL, PySpark, Databricks, Postgres, and MongoDB
  • Experience building and maintaining datasets at scale across multiple data formats and structures
  • Familiarity with vehicle or embedded system data, including CAN signals
  • Excellent written and verbal communication skills, including the ability to lead meetings, clearly document work, communicate proof-of-concepts, and collaborate across teams

Desired Attributes
  • Experience developing dashboards and visual analytics solutions using tools such as Tableau, Plotly, or similar platforms
  • Familiarity with spatial data and visualization tools such as Folium or Plotly
  • Experience implementing system monitoring, alerting, and health-tracking solutions
  • Strong analytical and problem-solving skills with the ability to debug complex data and system issues
  • Ability to work effectively in a self-directed environment with minimal oversight
  • Proven ability to manage multiple schedules, deliverables, and stakeholders simultaneously
  • Knowledge of off-highway, agricultural, construction, or industrial equipment data systems is a plus

Visa sponsorship is NOT available for this position.
Salary Range: $80,000-$120,000/year: 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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