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Machine Learning Engineer Quantization Jobs in Brainerd, MN

Laser Operator Apprentice

Merrifield, MN · On-site

$19.25 - $20.80/hr

This position is a great fit for someone who enjoys learning new skills, working with technology ... cutting machinery * Training in CAD and PEP software for programming * Forklift and crane ...

This position is a great fit for someone who enjoys learning new skills, working with technology ... cutting machinery * Training in CAD and PEP software for programming * Forklift and crane ...

Laser Operator Apprentice

Merrifield, MN · On-site

$19.25 - $20.80/hr

This position is a great fit for someone who enjoys learning new skills, working with technology ... cutting machinery * Training in CAD and PEP software for programming * Forklift and crane ...

Machine Learning Engineer Quantization information

See Brainerd, MN salary details

$30.8K

$126K

$189.3K

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

As of May 30, 2026, the average yearly pay for machine learning engineer quantization in Brainerd, MN is $125,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $151,700.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Machine Learning Engineer Quantization jobs in Brainerd, MN look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Brainerd, MN are:
Control Systems Developer I - Brainerd, MN

Control Systems Developer I - Brainerd, MN

Interstates

Brainerd, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Interstates rating

8.7

Company rating: 8.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Take Charge of Your Career at Interstates
At Interstates, we don't just show up to work, we show up for each other. From our headquarters in Iowa to job sites across the country, we're doing award-winning electrical, controls, automation, and OT work that powers industrial facilities for clients here in the U.S. and around the world. Whether you're bending conduit, wiring panels, writing code, supporting projects, or helping things run behind the scenes, you'll be part of a crew that works hard, shares laughs, and takes pride in doing quality work. We believe in building strong teams, doing the right thing, and making a difference in the communities where we live. If you want to grow and do meaningful work, you'll feel at home here.
As a Control Systems Developer I, you'll play a hands-on role in designing, programming, and launching automation solutions for diverse manufacturing clients. You'll collaborate with a talented, multidisciplinary team to deliver projects that make an impact on our clients' operations every day. Joining Interstates means becoming part of a family-one that supports your growth and values your contributions.
Responsibilities:
  • PLC Programming: Develop, test, and implement PLC code for industrial automation systems.
  • HMI Development: Design and configure Human Machine Interface (HMI) applications for process control and monitoring.
  • Project Documentation: Create thorough and accurate project documentation, including system descriptions, operator manuals, and change logs.
  • Team Collaboration: Work closely with clients, electrical engineers, control system programmers, and information system specialists to deliver integrated solutions.
  • On-Site Implementation: Commission and launch control systems on-site; provide troubleshooting, technical support, and operator training to ensure project success.
  • Client Interaction: Build lasting relationships by communicating professionally, anticipating needs, and exceeding expectations.
  • Continuous Learning: Stay up-to-date on industry trends and technologies to drive continuous improvement and innovation.
  • Other Duties as Assigned: Flex and grow with a supportive team, tackling new challenges and learning every day.

Pay Range for role: $65,000.00 to $90,000.00
Preferred skills or industry knowledge:
  • Value-add Ag such as: Ethanol, Seed Oil, Petfood
  • Food & Bev
  • Continuous Process

Knowledge and Expertise for this Role
  • Bachelor's degree (B.A., B.S.) from four-year college or university with an emphasis in some branch of Engineering (Electrical, Mechanical, Chemical, etc.) or Associate's degree (A.A., A.S.) from a two-year community college or technical school with an emphasis in Instrumentation and Controls preferred.
  • Or equivalent combination of education and related experience/training
  • Experience in programming in the Industrial Environment, implementing Industrial Control Software (Startup) and experience in dealing with customers regarding system requirements
  • Experience with object oriented programming, user interface development, database systems, and system integration

Location: This position and individual will be based out of the Brainerd, MN region.
Travel: The amount of travel will vary according to business requirements (may be up to 35%).
Benefits You Can Depend On:
In addition to highly competitive pay and quality benefits, Interstates strives to offer opportunities for education and career development, empowering you to have a career that's built to last. Some of our benefits include:
  • Competitive pay
  • Bonus incentives
  • 401(k)
  • Health, Vision, and Dental Insurance
  • PTO and Holiday Pay
  • Disability and Life Insurance
  • Parental Leave
  • Advancement Opportunities

What You Should Know Before You Apply
Interstates may collect personal information as part of your job application, such as your contact details, work history, education, and any information you provide. This information is used only for recruitment, to evaluate your candidacy, and to meet legal requirements. For details about our privacy practices and your rights under the California Consumer Privacy Act (CCPA), please see our Privacy Policy. By applying, you acknowledge that you have reviewed this notice.
Interstates is an EEO provider and offers a drug-free workplace. Employment at Interstates is at-will and may be terminated at any time with or without notice or cause, except as otherwise provided by law.

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