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Hourly Embedded Machine Learning Jobs in Minneapolis, MN

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 ...

Machinist

Fridley, MN · On-site

$19 - $40/hr

Applying machine shop theory and practices * Reading blueprints, sketches, drawings, manuals, and ... Find out why you would love working at Minco by learning more about our company culture and the ...

Machinist

Fridley, MN · On-site

$19 - $40/hr

Applying machine shop theory and practices * Reading blueprints, sketches, drawings, manuals, and ... Find out why you would love working at Minco by learning more about our company culture and the ...

Machinist

Fridley, MN · On-site

$19 - $40/hr

Applying machine shop theory and practices * Reading blueprints, sketches, drawings, manuals, and ... Find out why you would love working at Minco by learning more about our company culture and the ...

Applying machine shop theory and practices * Reading blueprints, sketches, drawings, manuals, and ... Find out why you would love working at Minco by learning more about our company culture and the ...

Exhibits relentless focus in software reliability engineering standards embedded into development ... AI & Machine Learning NLP, LLM Fine-Tuning, Model Evaluation, Data Preprocessing * Solid ...

Sr Machinist

Chanhassen, MN · On-site

$25 - $35/hr

Monday to Thursday 3:00pm to 1:30am Salary/hourly rate: $25.00 to $35.00, plus 2nd shift ... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ...

Monday to Thursday 3:00pm to 1:30am Salary/hourly rate: $25.00 to $35.00, plus 2nd shift ... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ...

You will have the ability to do basic machine set-up, quality control and minor machine maintenance ... Monday to Friday with shifts starting between 5-7am Salary/hourly rate: $25.00 - $35.00 Please note ...

Showing results 21-40

Hourly Embedded Machine Learning information

See Minneapolis, MN salary details

$73.1K

$160.1K

$181.6K

How much do hourly embedded machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for hourly embedded machine learning in Minneapolis, MN is $160,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,300.00 and $180,600.00 per year, depending on experience, location, and employer.

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 Minneapolis, MN? The most popular types of Embedded Machine Learning jobs in Minneapolis, MN are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Minneapolis, MN look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Hourly Embedded Machine Learning jobs? Cities near Minneapolis, MN with the most Hourly Embedded Machine Learning job openings:
Infographic showing various Hourly Embedded Machine Learning job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $160,102 per year, or $77 per hour.

Professional III, Sales Administration

Samsung Semiconductor, Inc.

Edina, MN

$145K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

125th of 157 rated electronics manufacturers


Job description

Position Summary

Role and Responsibilities

MULTIPLE POSITIONS AVAILABLE

Company: SAMSUNG ELECTRONICS AMERICA, INC.

Position Title: Professional III, Sales Administration

Location: Edina, MN

Job ID: SAM9986813

Position Responsibilities:

Lead and deliver production-grade machine learning (ML) software products from end-to-end to ensure that Samsung Ads is a key player in the mobile ads market. Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, and retention. Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production. Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals. Leverage prior experience working with machine learning libraries (including TensorFlow, PyTorch, and Spark ML) as well as Big Data tools (MapReduce, Spark, Flink, and Kafka). Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve Samsung's codebase and product health. Work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives. Mentor junior engineers and provide technical guidance.

Position Requirements:

Master's degree or foreign equivalent degree in Data Science, Electrical Engineering, Bioinformatics, Biostatistics, or a related field and five years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Data Science, Electrical Engineering, Bioinformatics, Biostatistics, or a related field and eight years of post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and five years of experience. Must have five years of experience in the following skills: (1) implementing advanced Excel functions, Pivot Tables, Power Query, and dashboards to consolidate sales and marketing data, track KPIs, and drive KPI improvements; (2) building, managing, and evolving KPI dashboards, aggregating data from Excel and Python, and analyzing sales performance and trends to recommend business decisions in real time; (3) validating, cleaning, aggregating, merging, and preparing data to support reporting, trend analysis, and to simulate scenario planning; and (4) applying time series techniques to understand seasonality, promotional impact, and demand patterns, improving forecast accuracy. Must have three years of experience in the following skill: (5) combining data from multiple data sources and internal systems, cleansing and transforming datasets, and preparing consistent, reliable data for analysis and reporting.

Hours: Full Time, 40 hours/week. Salary Range: $145,018/year to $155,018/year

Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/

Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/

Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 1 year), Paid Time Off, Student Loan Program (after 1 year), Wellness Incentives, and many more.

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Skills and Qualifications

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At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process.If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.


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