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Machine Learning Engineer Jobs in Ames, IA (NOW HIRING)

Vermeer

Data Scientist - R&D (AI/ML)

Ames, IA · On-site

$90 - $120/hr

The AI/ML Engineer will drive the development and implementation of advanced machine learning and generative AI solutions that enhance products, automate business processes, and improve decision ...

Actalent

Software Engineer

Ames, IA

$45 - $60/hr

Software Engineer This role leads the design, implementation, and testing of innovative software ... Exposure to or experience with vision processing and machine learning concepts or applications.

Varsity Tutors

Data Science Tutor

Ames, IA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Python Tutor

Ames, IA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Ames, IA

Machine Learning Engineer information

See Ames, IA salary details

$30.8K

$126K

$189.3K

How much do machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning engineer in Ames, IA is $125,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $151,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Ames, IA?

The most popular types of Machine Learning Engineer jobs in Ames, IA are:

What are popular job titles related to Machine Learning Engineer jobs in Ames, IA?

For Machine Learning Engineer jobs in Ames, IA, the most frequently searched job titles are:

What cities near Ames, IA are hiring for Machine Learning Engineer jobs?

Cities near Ames, IA with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Ames, IA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,961 per year, or $60.6 per hour.

Embedded Software Engineer

Rogers Freels & Associates Inc

Johnston, IA

$70K - $120K/yr

Full-time

Re-posted 17 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

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