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Machine Learning Engineer Quantization Jobs in Olivet, MI

CYNET SYSTEMS

Azure Integration Engineer

Jackson, MI · On-site

$60/hr

Develop pipelines for training, testing, and deploying models using Azure Machine Learning, Azure ... EDI & Integration Engineering * Lead the migration of BizTalk EDI interfaces to Azure Integration ...

DataAnnotation

QA Engineer - AI Trainer

Lansing, MI · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.

Consumers Energy

Data Scientist

Jackson, MI

Basic knowledge of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering. * Broad understanding of project management principles and ability to ...

Consumers Energy Company

Data Scientist

Jackson, MI

Basic knowledge of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering. * Broad understanding of project management principles and ability to ...

Consumers Energy

Data Scientist

Jackson, MI · On-site

Basic knowledge of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering. * Broad understanding of project management principles and ability to ...

Select Minds LLC

Lead Security Architect

Lansing, MI

$75 - $95/hr

Partner with engineering teams to integrate security throughout the software development lifecycle ... Support enterprise initiatives involving AI, Machine Learning, and cloud-native technologies ...

Sedgwick

Senior Applied & Agentic AI Engineer

Lansing, MI

$106K - $145K/yr

Qualifications · Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline. · 7-10+ years of experience in AI engineering, machine learning ...

Trilyon, Inc.

Programmer Analyst 3 (Hybrid)

Lansing, MI · On-site

... Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide ... Programmer Analyst 3 Location: Lansing, MI (Hybrid) Duration: 12 months contract with high ...

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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 Jun 19, 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 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 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

Experienced Data Scientist

Auto Owners Insurance Company

Lansing, MI

Full-time

Retirement, PTO

Posted 20 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 we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan twice a week.


Auto-Owners Insurance, a top-rated insurance carrier, is seeking an experienced data scientist to join our analytics teams. The position requires the person to:

  • Lead the design, development, validation, and deployment of statistical and machine learning models that address complex business needs and comply with regulatory requirements
  • Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements
  • Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics
  • Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
  • Design, prototype, and implement new approaches for solving problems.
  • Collaborate with a cross-functional team, including software developers, architects, and business leaders
  • Create clear and easy to understand documentation for models
  • Monitor model performance and implement iterative improvements

Desired Skills & Experience

  • Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
  • Proficiency in SQL or other data querying language
  • An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.
  • Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc.
  • Demonstrated experience owning end-to-end model lifecycle, including validation, monitoring, and performance optimization
  • Experience mentoring junior data scientists or leading analytical workflows preferred
  • Aptitude and willingness to learn new things and teach others
  • Strong written and oral communication skills
  • 5+ years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler". Candidates with less than 5 years of experience, please use the job posting for "Data Scientist".
  • (Preferred) Experience developing and deploying analytics solutions in cloud environments such as AWS
  • (Preferred) PhD in a quantitative discipline
  • (Preferred) Experience in the insurance industry

Compensation/Benefits

The salary offered will be commensurate with skills and experience.

We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office.

Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. 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 the ability to work in the U.S. without current or future sponsorship is a requirement.

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