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Junior Machine Learning Engineer Jobs in Iowa (NOW HIRING)

Workiva, Inc.

Staff Machine Learning Engineer

Ames, IA · On-site +1

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning ...

Workiva, Inc.

Staff Machine Learning Engineer

Ames, IA · On-site +1

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning ...

Workiva, Inc.

Staff Machine Learning Engineer

Ames, IA · On-site

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning ...

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Junior Machine Learning Engineer information

See Iowa salary details

$31.5K

$67.4K

$102.8K

How much do junior machine learning engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for junior machine learning engineer in Iowa is $67,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,600.00 and $75,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Iowa? The most popular types of Machine Learning Engineer jobs in Iowa are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Iowa? For Junior Machine Learning Engineer jobs in Iowa, the most frequently searched job titles are:
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What cities in Iowa are hiring for Junior Machine Learning Engineer jobs? Cities in Iowa with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Workiva, Inc.

Ames, IA • On-site, Remote

Other

Retirement

Posted 13 days ago

Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 186 rated software companies

Job description

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning solutions across our platform. Your expertise will be instrumental in leading projects that demand innovative problem-solving, including the integration of cutting-edge Generative AI into our products.

In this role, you'll have the chance to develop robust tools, systems, and infrastructure to bolster the development, monitoring, and management of our machine learning solutions. Leveraging your engineering prowess, you'll tackle challenges related to availability and scaling, ensuring the long-term stability of our systems.

If you're passionate about pioneering the possibilities of Generative AI and want to be part of a team driving innovation at Workiva, we invite you to join us! Learn more about Workiva's Generative AI and be part of shaping the future of ML with us.

What You'll Do

Architect and Develop Solutions

  • Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering creativity in project execution

  • Design systems to enable rapid ML development, high availability, and clear observability

  • Develop tools, systems, and automation to support ML solutions, ensuring efficiency, scalability, and rapid development

Collaborate and Lead

  • Collaborate closely with product teams to develop APIs, maintain ML infrastructure, and integrate machine learning features into products

  • Provide technical leadership, mentor less experienced ML engineers and scientists, and define team best practices and processes

  • Lead in the ML space by introducing new technologies and techniques, and applying them to Workiva's strategic initiatives

  • Communicate complex technical issues to both technical and non-technical audiences effectively

  • Collaborate with software, data architects, and product managers to design complete software products that meet a broad range of customer needs and requirements

Ensure Reliability and Support

  • Deliver, update, and maintain machine learning infrastructure to meet evolving needs

  • Host ML models to product teams, monitor performance, and provide necessary support

  • Write automated tests (unit, integration, functional, etc.) with ML solutions in mind to ensure robustness and reliability

  • Debug and troubleshoot components across multiple service and application contexts, engaging with support teams to triage and resolve production issues

  • Participate in on-call rotations, providing 24x7 support for all of Workiva's SaaS hosted environments

  • Perform Code Reviews within your group's products, components, and solutions, involving external stakeholders (e.g., Security, Architecture)

What You'll Need

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering or equivalent combination of education and experience

  • Minimum of 4 years in ML engineering or related software engineering experience

  • Proficiency in ML development cycles and toolsets

Preferred Qualifications

  • Familiarity with Generative AI

  • Strong technical leadership skills in an Agile/Sprint working environment

  • Experience building model deployment and data pipelines and/or CI/CD pipelines and infrastructure

  • Proficiency in Python, GO, Java, or relevant languages, with experience in Github, Docker, Kubernetes, and cloud services

  • Proven experience working with product teams to integrate machine learning features into the product

  • Experience with commercial databases and HTTP/web protocols

  • Knowledge of systems performance tuning and load testing, and production-level testing best practices

  • Experience with Github or equivalent source control systems

  • Experience with Amazon Web Services (AWS) or other cloud service providers

  • Ability to prioritize projects effectively and optimize system performance

Working Conditions

  • Less than 10% travel

  • Reliable internet access for remote working opportunities

How You'll Be Rewarded

Salary range in the US: $163,000.00 - $261,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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