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Hourly Embedded Machine Learning Jobs in Minnesota

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 ...

... engineering standards embedded into development standards - Embraces emerging technology ... AI & Machine Learning NLP, LLM Fine-Tuning, Model Evaluation, Data Preprocessing * Solid ...

Machinist B - First Shift

Mankato, MN · On-site

$24.58 - $28.57/hr

On-site (Mankato, MN) Starting Salary: $24.58 to $28.57 hourly (An additional $2.00 per hour ... Requires experience, trade skill and knowledge of machine shop practice. Operation of CNC machines ...

ESL Teacher

Minneapolis, MN · On-site

$46K - $50K/yr

Knowledge of subject matter, classroom management techniques as well as students' learning styles ... Assists with providing ESL job-embedded professional development KNOWLEDGE AND SKILLS: * Ability ...

Machinist B - Fourth Shift

Mankato, MN · On-site

$24.58 - $28.57/hr

On-site (Mankato, MN) Starting Salary: $24.58 to $28.57 hourly + 10 shift differential (An ... Requires experience, trade skill and knowledge of machine shop practice. Operation of CNC machines ...

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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:
Firmware Engineer II (Continuation)

Firmware Engineer II (Continuation)

Entrust Datacard

Shakopee, MN • On-site, Remote

$85K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Job description

Join us at Entrust

At Entrust, we're shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.

Get to Know Us

Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It's the curiosity, dedication, and innovation that drive our success and help us anticipate the future.

As an integral member of the Hardware Solutions Group, the Firmware Engineer II will take unique customer requirements and design, implement, deliver, and support embedded software solutions on an array of Entrust products. This individual will be required to work on multiple complex technologies, laser, printing, etc. The position will perform the responsibilities detailed below and other duties as assigned.

Responsibilities:

  • Developing real-time embedded systems software for digital, analog, power, and motion control systems in complex machines.
  • Design, code, test, debug, and document embedded software components or applications.
  • Participation in design and code reviews, hardware/software integration and development test.
  • Understand and perform design trade-offs in a collaborative team environment.
  • Provide schedule input and communicate project status to various levels of management, peers and team members.
  • Knowledge of development tools and software languages for embedded development and testing responsibilities.
  • Develop or contribute to development and maintenance of policies, practices and standards.
  • Continuously improve work processes to enable team efficiencies.

Basic Qualifications:

  • Bachelor's degree in Computer Engineering, Electrical Engineering, or Computer Science.
  • 2 years' experience developing embedded software, hardware and/or firmware in a product development environment.
  • Experience with C++ and/or C in an embedded development environment.
  • Experience with unit test and integration test methodologies.
  • Strong verbal and written communication skills and the ability to prepare written specifications.
  • Must be able to lawfully work within the US and have unrestricted work authorization for US.

Preferred Qualifications:

  • 3+ years experience developing embedded software, hardware and/or firmware in a product development environment
  • Strong analytical and problem solving skills.
  • Good engineering judgment and decision making.
  • Experience with Linux kernel and device driver development.
  • Experience with VxWorks or other real time operating system.
  • Experience with electromechanical design and motion control.
  • Experience with PHP and/or other scripting languages.
  • Experience programming in assembly language
  • Experience with Entrust card production systems.
  • Ability to work in a multi-disciplined team with mechanical, electrical and high level software team members.

At Entrust, we don't just offer jobs - we offer career journeys. Here is what you can expect when you join our team:

  • Career Growth: Whether you're a budding developer or a seasoned expert, we're invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.

  • Flexibility: Life is all about balance. Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.

  • Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.

We believe in securing identities-but it doesn't stop there. At Entrust, we're passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we're creating a community where everyone is encouraged to be themselves.

Ready to Make an Impact?

If you're excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let's build a more secure world-together.

Apply today!

For more information, visit www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTube

Compensation Range:


The anticipated starting base pay for this position is: $85,413-$125,272 per year (in the primary posting location). Actual compensation will be determined based on geographic location, education, skills and experience. This position is also eligible for the company's discretionary annual incentive plan. In addition to your pay, Entrust offers eligible colleagues and their dependents comprehensive health and well-being programs which include medical, vision, dental, a generous 401(k) matching contribution, life and disability insurance, mental health coaching, virtual fitness programs, paid personal time off plus 12 paid holidays, parental leave and education reimbursement. Please speak with the recruiter for more details. Note: Benefit and Compensation programs are subject to eligibility requirements and other terms of the applicable plan or program. Entrust has the right to end, suspend or amend any of its plans at any time in whole or in part.

For US roles, or where applicable:

Entrust is an EEO/AA/Disabled/Veterans Employer

For Canadian roles, or where applicable:

Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.

If you require an accommodation, contact accessibility@entrust.com.

Recruiter:

Steve DonahueSteve.Donahue@entrust.com