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Machine Learning Engineer Quantization Jobs in Black Earth, WI

Elephas

Senior Data Scientist

Madison, WI · On-site

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

Varsity Tutors

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

EnsoData

Backend Software Engineer

Madison, WI · On-site

Hi, I'm Will, an Engineering Manager at EnsoData! We're excited to announce that we're looking for ... Using AI and machine learning, our software analyzes billions of data points collected from sensors ...

EnsoData

Backend Software Engineer

Madison, WI · On-site +1

Hi, I'm Will, an Engineering Manager at EnsoData! We're excited to announce that we're looking for ... Using AI and machine learning, our software analyzes billions of data points collected from sensors ...

Yahara Software

Software Development Engineer

Madison, WI · On-site

$110 - $140/hr

Software Development Engineer We're looking for exceptionally talented Software Development ... Design, train, and deploy machine learning models to solve business problems and improve system ...

EnsoData

Backend Software Engineer

Madison, WI · On-site

Hi, I'm Will, an Engineering Manager at EnsoData! We're excited to announce that we're looking for ... Using AI and machine learning, our software analyzes billions of data points collected from sensors ...

findhelp

Staff Software Engineer

Madison, WI · On-site

$140 - $190/hr

As a Staff Software Engineer, you will be a technical leader within a cross-functional team ... Explore and integrate machine learning and data science techniques to enhance service matching ...

New

MSCCN

Senior Data Scientist - Madison WI

Mcfarland, WI · On-site

$100K/yr

... use by engineers and scientists. Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes. Integrate modeling software with ...

Wisconsin

Computer Vision Engineer

Madison, WI · On-site

$74K/yr

Significant experience (>10 years) with scientific computing, image analysis, and experience in developing Machine Learning Based Image Segmentation. Programing skills in MATLAB, Python, and Java ...

Posted today

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Black Earth, WI

Machine Learning Engineer Quantization information

See Black Earth, WI salary details

$32.2K

$131.8K

$198K

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

As of Aug 19, 2026, the average yearly pay for machine learning engineer quantization in Black Earth, WI is $131,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $158,600.00 per year, depending on experience, location, and employer.

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 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 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 cities near Black Earth, WI are hiring for Machine Learning Engineer Quantization jobs?

Cities near Black Earth, WI with the most Machine Learning Engineer Quantization job openings:

Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Black Earth, WI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $131,796 per year, or $63.4 per hour.

Senior Data Scientist

Elephas

Madison, WI • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 26 days ago

Job description

Summary
Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced and collaborative environment. Candidates should be eager to learn and flexible with an aptitude for understanding and synthesizing scientific and medical information, strong analytical and problem-solving skills. A successful candidate will not only exemplify these skills but also be passionate about improving the lives of cancer patients, grounded and gritty, and an enthusiastic teacher.
The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps across different assay versions, engineering features to feed modeling, evaluating different types of modeling approaches, training unsupervised and supervised data models and reporting performance, assimilating, summarizing, and visualizing results, and presenting results to Commercial, RD and Scientific Communications stakeholders.
Essential Duties and Responsibilities
  • Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement.
  • Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets.
  • Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable for broader team use.
  • Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches.
  • Lead complex data presentation to technical and non-technical stakeholders.
  • Provide technical leadership through code review, methodological guidance, and best-practice development.
  • Mentor junior and mid-level data scientists, supporting their technical growth, project execution, and decision-making.

Education/Experience/Skills
  • Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field
  • Strong background in quantitative analysis and statistics
  • 1-3 years experience analyzing biomedical datasets is preferred
  • Experience programming in Python is preferred
  • Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc.
  • Experience explaining complex data methodologies to non-technical stakeholders
  • Familiarity with software development life cycle and best practices
  • Detail-oriented with strong organizational skills

We offer our employees competitive compensation and benefits, including paid time off, health insurance, life insurance, flexible spending accounts, a 401(k) plan, and stock options.
DISCLAIMER
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
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About Elephas

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

Madison, WI, US

Year founded

2020

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