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Hourly Embedded Machine Learning Jobs in Minnesota

Machine Operator

Buffalo, MN · On-site

$19.50 - $29/hr

Buffalo, MN Job Type: Full-time Pay Range: $19.50 - $29 Hourly - Based on experience; 2nd Shift has ... This may include learning new skills such as setups and programming to cross training in other ...

Buffalo, MN Job Type: Full-time Pay Range: $19.50 - $29 Hourly - Based on experience; 2nd Shift has ... This may include learning new skills such as setups and programming to cross training in other ...

Machine Operator

Buffalo, MN · On-site

$19.50 - $29/hr

Buffalo, MN Job Type: Full-time Pay Range: $19.50 - $29 Hourly - Based on experience; 2nd Shift has ... This may include learning new skills such as setups and programming to cross training in other ...

Data Scientist

Minneapolis, MN · On-site +1

$100K - $150K/yr

... machine learning and statistical methodologies • Translating validated models into forward ... Below is the starting salary or hourly range for this position, although offers may differ based on ...

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

... machine learning and statistical methodologies • Translating validated models into forward ... Below is the starting salary or hourly range for this position, although offers may differ based on ...

... embedded processors * Supports testing and demonstration of components and integrated systems ... Understands or has familiarity with Machine Learning and Computer Vision concepts * Displays strong ...

... embedded processors * Supports testing and demonstration of components and integrated systems ... Understands or has familiarity with Machine Learning and Computer Vision concepts * Displays strong ...

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Hourly Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as an Hourly Embedded Machine Learning Engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Minnesota? The most popular types of Embedded Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Hourly Embedded Machine Learning jobs? Cities in Minnesota with the most Hourly Embedded Machine Learning job openings:
Machine Technician & Systems Engineer Hourly

Machine Technician & Systems Engineer Hourly

Pearson

Owatonna, MN

$20/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Pearson is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. Pearson is listed on both the London and New York stock exchanges (UK: PSON; NYSE: PSO).
Pearson offers a great environment to start or grow your career, we are now hiring for a Machine Technician & Systems Engineer Hourly (Regular, Full-time ) to support the upkeep and functionality of our facilities in Owatonna, MN.
 

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows: 

The full-time starting pay rate is $20 minimally per hour. This position benefits eligible effective on your hire date. More for information, you may visit https://pearsonbenefitsus.com/newemployees/.

Medical, Dental, Vision, Life, Short-Term Disability and Voluntary Long-Term Disability benefits. 

Paid holidays, vacation, sick and personal days per the NCS Pearson policies. 

401(k) Retirement Plan with employer match. 

Employee Stock Purchase Plan (bi-annual enrollment). 

Tuition Reimbursement. 

Company-paid life insurance and business travel insurance benefits.

 

This role is 40 hours per week with possibility of overtime and weekends shifts. Our ideal candidate demonstrates teamwork, with the availability to work Monday through Thursday 6 pm - 4 am, 10 hour shifts with possibility of overtime.

Education, Knowledge and Experience

High school graduate or equivalent preferred.

One (1) year experience in a related production position preferred but not required.

 Other Skills and Abilities

Has the ability to work effectively under tight deadlines required.

Has the ability to operate material handling equipment preferred.

Has the ability to produce high level of quality is required.

Primary Duties and Responsibilities

Operate all department machines.

Make operating adjustments to equipment as trained.

Maintain logs and keep records as directed.

Work cooperatively in a team environment to process materials or documents.

Wear necessary protective clothing and equipment as required.

Perform tasks involving the lifting and/or loading of materials.

Maintain work area in neat, orderly, and safe manner.

May perform higher classified work on occasional basis for training purposes.

Perform other related duties as assigned.

Support other departments as assigned.

Physical Requirements

Must be able to lift 50 lbs. and move pallets of material with a pallet jack as

needed in routine department functions.

Must be able to stand for long periods of time and push loaded carts of 650 lbs.

Also frequent bending and twisting.

Must be able to push and load 1200 lb. or heavier Roll forms around.

Working Conditions

Work occasionally requires situations where extreme caution must be observed.

Working environment may produce higher than normal noise levels and airborne

dust particles but is maintained for safe and favorable working conditions.

Work may require off shift or irregular working hours to assure minimal disruption

to regular operational functions