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Machine Learning Research Jobs in Iowa (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Iowa City, IA

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Des Moines, IA · On-site

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Waterloo, IA

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Davenport, IA

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Clinton, IA · On-site

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Davenport, IA · On-site

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Cedar Rapids, IA · On-site

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Waterloo, IA · On-site

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Clinton, IA

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Iowa City, IA · On-site

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Bespoke Labs

Machine Learning Engineer

Sioux City, IA · On-site

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

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Machine Learning Research information

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How much do machine learning research jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning research in Iowa is $20.87, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.36 per hour, depending on experience, location, and employer.

What is machine learning research?

Machine learning research is the scientific study and development of algorithms and statistical models that enable computers to perform tasks without explicit instructions, instead relying on patterns and inference. Researchers in this field work on advancing the theory, design, and application of machine learning systems, exploring areas such as deep learning, reinforcement learning, and unsupervised learning. They often publish their findings, develop new techniques, and collaborate with industry to solve real-world problems. This work is foundational to progress in artificial intelligence and has wide-ranging impacts across technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree (Master's or PhD) in a related field. Proficiency in programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with cloud computing platforms are typically required. Strong analytical thinking, creativity, and effective communication skills help researchers devise novel solutions and collaborate within multidisciplinary teams. These skills are essential for driving innovation, solving complex problems, and advancing the field of machine learning.

What are some common challenges faced by professionals in machine learning research and how can they be overcome?

One of the main challenges in Machine Learning Research is dealing with insufficient or poor-quality data, which can hinder model performance and generalizability. Additionally, keeping up with the rapid pace of advancements in the field requires continuous learning and adaptation. Collaborating effectively with multidisciplinary teams, such as data engineers and domain experts, is also crucial but can present communication challenges. Overcoming these obstacles typically involves building strong data pipelines, dedicating time for ongoing education, and honing collaboration and communication skills to bridge gaps between technical and non-technical stakeholders.

What is the difference between Machine Learning Research vs Data Scientist?

AspectMachine Learning ResearchData Scientist
Required CredentialsAdvanced degrees (Master's/PhD) in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, universitiesTech, finance, healthcare, e-commerce, and more
Common Search & ComparisonYesYes

Machine Learning Research focuses on developing new algorithms and advancing theoretical understanding, often in academic or R&D settings. Data Scientists apply existing ML techniques to analyze data, build models, and generate insights for business decisions. While both roles require strong technical skills, Machine Learning Research emphasizes innovation and theory, whereas Data Scientists focus on practical application and data analysis.

How to become a machine learning researcher?

To become a machine learning researcher, typically a strong foundation in mathematics, statistics, and programming is required, along with advanced degrees such as a master's or Ph.D. in computer science, data science, or related fields. Gaining experience with machine learning frameworks like TensorFlow or PyTorch, publishing research, and staying current with academic literature are also important steps.

Is machine learning research a high paying job?

Machine learning research positions are generally well-paid due to the high demand for specialized skills in algorithms, data analysis, and programming languages like Python and TensorFlow. Salaries vary based on experience, education, and location, but they tend to be higher than average for many tech roles, especially in industry or academia with strong research funding.

What does a machine learning researcher do?

A machine learning researcher develops algorithms and models that enable computers to learn from data and improve their performance over time. They analyze large datasets, experiment with different techniques, and publish findings to advance the field, often using tools like Python, TensorFlow, or PyTorch. Their work typically involves both theoretical understanding and practical implementation to solve complex problems across various industries.

What are the most commonly searched types of Machine Learning Research jobs in Iowa?

The most popular types of Machine Learning Research jobs in Iowa are:

Machine Learning Research jobs near you
Infographic showing various Machine Learning Research job openings in Iowa as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,414 per year, or $20.9 per hour.

Software Engineer - Computer Vision & Machine Learning

Urbandale, IA • On-site

Rogers Freels & Associates Inc
See more jobs at Rogers Freels & Associates Incexternal

$70K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

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.

Software Engineer – Computer Vision & Machine Learning 

RFA Engineering is seeking a Software Engineer in the field of Robotics, Perception, Vision Processing and Machine Learning to architect, develop and integrate new intelligent features into the next generation of agricultural and off-highway equipment.

 Responsibilities

  • Develop machine learning and computer vision algorithms for automation and autonomy product development.
  • Design, implement, and optimize machine learning algorithms and computer vision solutions for production intent hardware. Work with Stereo, monocular cameras, Lidar, radar, edge compute devices.
  • Data collection and processing for CVML algorithms development. Utilize data-driven insights to inform your development process and improve models/algorithms.
  • Quickly learn new technologies, tools, and methodologies in the fields of computer vision and machine learning. Stay abreast of the latest research and trends, applying this knowledge to your work and sharing insights with the team.
  • Primary needs relating to theoretical geometric computer vision - involving concepts like singletons, SLAM (localization, mapping), triangulation, projective geometry, feature detection, depth estimation, camera models/calibration/rectification
  • Secondary needs relating to Machine Learning algorithm development. All aspects of model architecture development including: problem definition, data collection/prep, model selection, architecture design, training , evaluation, optimization, deployment, monitoring/maintenance.

Technical Qualifications:

  • Experience with data visualization, data management, data querying (eg SQL, Tableau, PowerBI, matplotlib)
  • Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow, experience with linear algebra, optimization etc.)
  • Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision, AI, robotics and be able to implement.
  • Competent in generating, interpreting, and communicating statistical data well and measuring the right statistics to answer the right questions
  • Comfortability reading documentation to read and write good code
  • Proficiency in C++ and/or Python.
  • Experience with Databricks, AWS, cloud
  • Technical expertise matters less in comparison to intelligence, work ethic, and willingness to learn.

Personal Qualification

  • Exceptional work ethic and willingness to learn.
  • Trailblazing spirit: Eager to solve problems in the autonomous robotics and AI space that have never been solved after.
  • Passionate about artificial intelligence, machine learning, robotics, autonomy, and automation.
  • Eager to OWN work fully and to make decisions with autonomy to deliver. 

Pay Range: $70,000-$140,000 – Commensurate with experience

Visa Sponsorship is NOT available for this position.

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