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Machine Learning Engineer Quantization Jobs in Iowa

RFA Engineering

Embedded Software Engineer

Urbandale, IA · On-site

$70K - $120K/yr

We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and ...

RFA Engineering

Embedded Software Engineer

Waterloo, IA · On-site

$70K - $120K/yr

We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and ...

Pwc

US Tech - AI Engineering Manager

Des Moines, IA

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

CTIO - AI Engineer- Senior Manager

Des Moines, IA · On-site

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Cottingham & Butler

AI Software Engineer

Dubuque, IA · On-site

Required : • Proficiency in programming languages like Python, Java, or R. • Strong understanding of machine learning algorithms and AI principles. • Experience with AI frameworks such as ...

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Machine Learning Engineer Quantization information

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 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 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 are popular job titles related to Machine Learning Engineer Quantization jobs in Iowa?

For Machine Learning Engineer Quantization jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Quantization jobs in Iowa look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in Iowa are:

Machine Learning Engineer Quantization jobs near you

Embedded Software Engineer

RFA Engineering

Urbandale, IA • On-site

$70K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

RFA Engineering (www.rfamec.com) supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices.
This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization.
Embedded Software Engineer
This position is associated with the design and development of embedded software that controls machine operations, functionality, or display information to operators. Various development roles are available that require use of C++ and Python programming languages. Testing methods include simulation-based software testing, bench testing with physical controllers in the loop, and/or physical full machine testing.
Responsibilities
  • Development of embedded software applications for vehicle controller software or display interfaces using C++.
  • Integration of software in a multi-developer Agile team using Continuous Integration process.
  • Functional and integration testing prior to hand-off to software test and evaluation group
  • Development and release status tracking using the Agile development process.
  • Troubleshooting and debugging using unit tests, vehicle simulators and bench testing of controllers with hardware in the loop.
  • Creation of software design documentation.

Requirements
  • Bachelor's or Master's of Science degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related experience/degree.
  • Experience with C or C++ programming languages
  • Strong mathematical and analytical problem solving skills
  • Strong verbal and written communication skills.
  • Ability to thrive in a team environment
  • Self-motivated, quick learner, with an any-problem-can-be-solved attitude
  • Must have a valid driver's license

Desired Attributes
  • Experience with CAN J1939 communication protocol
  • Previous experience in a structured software development process
  • Ability to interpret hardware schematics for wiring and electronic controllers
  • Experience with CAN sniffers or similar tools to use for troubleshooting communication issues
  • Ability to interpret software requirements and state diagrams
  • Knowledge of common software development tools such as VSCode, Github, Docker, etc.
  • General machine knowledge of industrial equipment or machinery

Pay Range: $70,000-$120,000 - Commensurate with experience
About RFA Engineering
RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.
Competitive Benefits
  • Health and Dental Insurance
  • TelaDoc Healthiest You
  • Supplemental Vision Insurance
  • Company Paid Life Insurance
  • Company Paid Long-Term Disability
  • Short-term Disability
  • Retirement Savings Account (Traditional 401k & Roth 401k)
  • Flexible Spending Plan Dependent Care
  • HSA for Medical Expenses
  • Bonus Plan (Exempt Employees Only)
  • Paid Time Off (PTO)
  • Paid Holidays
  • Bereavement Leave
  • Employee Assistance Programs (EAP)
  • Education Assistance

Equal Opportunity and Veteran Friendly
#ZR
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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