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Machine Learning Engineer Quantization Jobs in Milwaukee, WI

The Engine Code Engineer II plays an important role in advancing the design and performance of ... Familiarity with machine learning and predictive analytics techniques applied to engine performance ...

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 ...

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 ...

Senior Engine Code Engineer

Waukesha, WI

$104K - $143K/yr

The Senior Engine Code Engineer plays an important role in advancing the design and performance of ... Familiarity with machine learning and predictive analytics techniques applied to engine performance ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Makes use of machine learning tools to select features, create and optimize data classifiers.

Agentic DevOps Lead

Milwaukee, WI · 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 ...

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of ...

New

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB * Experience with continuous integration and deployment automation tools such as Azure DevOps (ADO), GitHub Actions, Jenkins

Senior Engine Code Engineer

Waukesha, WI

$104K - $143K/yr

Senior Engine Code Engineer For more than 65 years, we've turned big ideas into solutions that help ... Familiarity with machine learning and predictive analytics techniques applied to engine performance ...

Lead ML Ops Engineer

Milwaukee, WI

$101K - $133K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Lead ML Ops Engineer

Racine, WI

$96K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

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Showing results 1-20

Machine Learning Engineer Quantization information

See Milwaukee, WI salary details

$31K

$126.9K

$190.6K

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

As of Jun 19, 2026, the average yearly pay for machine learning engineer quantization in Milwaukee, WI is $126,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,700.00 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 Milwaukee, WI? For Machine Learning Engineer Quantization jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Milwaukee, WI look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Milwaukee, WI are:
Infographic showing various Machine Learning Engineer Quantization job openings in Milwaukee, WI as of June 2026, with employment types broken down into 100% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,869 per year, or $61 per hour.

Engineer II - Engine Coding

Generac

Waukesha, WI

Full-time

Posted 8 days ago


Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

289th of 418 rated machine equipment manufacturers


Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.


Ready to Power a Smarter World with us?


The Engine Code Engineer II plays an important role in advancing the design and performance of internal combustion engines (ICE), through code creation, embedded software, and code validation. This position leverages CAN, ATI Vision, and Matlab/Simulink tools to optimize system behavior, improve engine control, and increase engine performance across a range of gaseous fueled applications.

Major Responsibilities:

  • Create system-level engine code using Matlab/Simulink to support engine and generator design and development.

  • Conduct simulated and functional analyses to evaluate engine performance of mechanical and energy systems.

  • Conduct system evaluation and testing to aid in optimizing an engine's steady state and transient performance.

  • Interprets testing results and collaborates with cross-functional teams through code design reviews and technical discussions to guide product development.

  • Contribute to the development of software and code analysis best practices to improve efficiency and accuracy.

  • Document code objectives, methods, and results using standardized reporting formats.

  • Apply data analysis techniques, including Matlab/Simulink modeling and Python-based scripting and machine learning, to support code performance forecasting.

  • Stay informed on relevant technologies, tools, and industry trends to support continuous improvement.

Minimum Qualifications:

  • Bachelor of Science Degree in Mechanical or Electrical Engineering or related discipline

  • 2 or more years of relevant work experience


Knowledge, Skills and Abilities:

  • Hands-on experience with Matlab/Simulink.

  • Experience applying MATLAB/Simulink and Python in engineering analysis and simulation.

  • Hands-on experience with Matlab/Simulink as applied to engine control.

  • Proficiency in applying Matlab/Simulink to internal combustion engine related systems, including steady state, transient, fault codes, SPNs, SAE J1939 CAN networks, sensor integration, and embedded systems.

  • Experienced in automotive standards.

  • Experience with co-simulation environments, including Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL).

  • Familiarity with machine learning and predictive analytics techniques applied to engine performance and emissions modeling.

  • Familiarity with generator design.

  • Strong analytical and problem-solving skills, with a deep understanding of internal combustion engine design, operation, and testing.

  • Strong written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences.

Preferred Qualifications:

  • Master's degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field of study.

  • Advanced experience in engine and engine system code writing in Matlab/Simulink.

  • Advanced experience applying MATLAB/Simulink and Python to internal combustion engine design.

  • Advanced experience using ATI Vision to set calibrations in internal combustion engines.

  • Advanced experience in applying MATLAB/Simulink and Python in engineering analysis and simulation.

  • Proficiency in applying Matlab/Simulink code to complex propulsion systems, with demonstrated success in optimizing transients, steady state, and overall performance.

  • Deep knowledge in internal combustion engine system architecture, operational dynamics, and advanced testing methodologies.

  • Experience designing and executing co-simulation workflows, including SiL and HiL integration for real-time system validation.

  • Vast ability to synthesize and present complex code insights to diverse technical and non-technical stakeholders, influencing design decisions.

  • Understanding of applying machine learning and advanced predictive analytics to optimize engine performance with experience developing custom code.

  • Analytical acumen and strategic problem-solving capabilities, with a track record of delivering high-impact engineering solutions.

  • Excellent written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences.

  • Familiarity with gaseous fuel systems for internal combustion engines.

Physical Demands:

While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionallylift upto 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."


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