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Machine Learning Engineer Quantization Jobs in Olivet, MI

Technique, Inc.

Controls/Robotic Engineer

Jackson, MI · On-site

$74K - $96K/yr

HMI Development - Design and develop human-machine interfaces (HMI) for production equipment ... Our employees enjoy a work culture that values safety, integrity, teamwork, learning opportunities ...

Technique Inc

Controls/Robotic Engineer

Jackson, MI · On-site

$74K - $96K/yr

HMI Development - Design and develop human-machine interfaces (HMI) for production equipment ... Our employees enjoy a work culture that values safety, integrity, teamwork, learning opportunities ...

Flex-N-Gate

Quality Engineer

Battle Creek, MI · On-site

$67K - $87K/yr

Development and Continual Learning * Research and Analysis * Decision Making and Judgement ... Knowledge of production process, machines, tools, including design and uses. * Strong ...

fng

Quality Engineer

Battle Creek, MI · On-site

$67K - $87K/yr

Development and Continual Learning * Research and Analysis * Decision Making and Judgement ... Knowledge of production process, machines, tools, including design and uses. * Strong ...

fng

Quality Engineer

Battle Creek, MI · On-site

$67K - $87K/yr

Development and Continual Learning * Research and Analysis * Decision Making and Judgement ... Knowledge of production process, machines, tools, including design and uses. * Strong ...

fng

Quality Engineer

Battle Creek, MI

$67K - $87K/yr

Development and Continual Learning * Research and Analysis * Decision Making and Judgement ... Knowledge of production process, machines, tools, including design and uses. * Strong ...

Trilyon, Inc.

Business Analyst - Hybrid

Lansing, MI · On-site

... Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide ... Ensures SEM (system engineering methodology) deliverables for the project that are a responsibility ...

Auto-Owners Insurance

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

Use statistical or machine learning techniques to build models that address business needs and ... Electrical Engineering, etc.) * Outstanding problem solving and critical thinking skills * An ...

Auto Owners Insurance Company

Predictive Modeler

Lansing, MI · Hybrid

$55.50 - $72/hr

Use statistical or machine learning techniques to build models that address business needs and ... Electrical Engineering, etc.) * Outstanding problem solving and critical thinking skills * An ...

Brooksource

Analytics Project Lead

Lansing, MI · On-site

$43 - $55/hr

Coordinate across engineering, data, and platform teams to ensure alignment and successful delivery ... Experience supporting or leading projects involving software development, machine learning ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... Using statistical or machine learning techniques to build models that address business needs and ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... Using statistical or machine learning techniques to build models that address business needs and ...

Flex-N-Gate

CMM Programmer 2nd Shift

Battle Creek, MI · On-site

... the machine is properly working throughout programming scripts and tests. The incumbent is ... learning and development programs and tuition reimbursement • Paid holidays and vacation time ...

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Showing results 21-40

All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Olivet, MI

Machine Learning Engineer Quantization information

See Olivet, MI salary details

$28.7K

$117.1K

$176K

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

As of Aug 18, 2026, the average yearly pay for machine learning engineer quantization in Olivet, MI is $117,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $141,000.00 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 Olivet, MI are hiring for Machine Learning Engineer Quantization jobs?

Cities near Olivet, MI 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 Olivet, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $117,123 per year, or $56.3 per hour.

Application Infrastructure Developer

Auto Owners Insurance Company

Lansing, MI

Full-time

Retirement, PTO

Posted 6 days ago

Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.

Job Description

We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.

Please note that we are not currently hiring fully remote positions. All candidates must have the ability to work in Lansing, Michigan.

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated individual to join our Analytics Division as an Application Infrastructure (MLOps) Developer. Responsibilities include development and support of software application infrastructure for new or existing systems, including but not limited to application deployment automation, repository maintenance, application security, scripting, performance monitoring, and third-party software administration. The ideal candidate would have experience with object-oriented software development and experience with Continuous Integration and Continuous Delivery (CI/CD) across various Software Development Life Cycles (SDLC). Additionally, an ideal candidate would have knowledge of automation and scripting tools, source code management tools, containerization software, and databases. This position works directly with many key internal stakeholders such as software engineers, system administrators, database administrators, security engineers, and test automation engineers.

Desired Skills & Experience

  • Bachelor's degree in Computer Science, Information Systems, Information Technology, or another related degree is required. Candidates without a four-year degree, but with several years of relevant experience, may also be considered.
  • Must be able to learn and effectively use tools and development techniques as practiced, acquired, or adopted within the Analytics Division.
  • Some object-oriented development experience is strongly preferred (Python, C#, and/or Java). This experience can be from a course, class, or project.
  • Experience with SQL, Jenkins, Git, Bitbucket, Docker, Kubernetes, PowerShell, and/or SSRS/SSIS is preferred.
  • Experience with machine learning operations tools such as MLFlow, SageMaker, or model deployment pipelines is preferred

Benefits

Auto-Owners offers a wide range of career opportunities, and we are seeking talent that will help us continue our long tradition of success. We offer a friendly work environment, structured training program, employee mentoring and an excellent compensation/benefits package. Along with a competitive base salary, matched 401(k), fully-funded pension plan (once vested), and bonus programs, Auto-Owners also provides generous paid time off including holidays, vacation days, personal time, and sick leave. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!

Equal Employment Opportunity

Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.

*Please note that candidates must be authorized to work in the U.S. without sponsorship.

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