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New Grad Machine Learning Jobs in Johnston, IA (NOW HIRING)

Leverage machine learning, agentic AI, large language models, or intelligent agents to improve ... Ability to quickly learn and apply new technologies * Strong communication and collaboration skills ...

Data Science Tutor

Ames, IA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

AI Solutions Engineering Delivery Lead

Des Moines, IA · On-site

$100K - $131K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring ...

Data Engineer

Ankeny, IA · On-site

$108K - $130K/yr

Prepares and structures data to support AI and machine learning use cases, including feature-ready ... Evaluates and recommends new data engineering tools, patterns, and best practices. * Stays current ...

... AI) and Machine Learning (ML) to enhance operations, improve decision-making, and deliver ... new AI technologies or tools. Continuous Learning & Innovation · Stay current on emerging AI ...

AI Practitioner

West Des Moines, IA · On-site

$110 - $150/hr

Experiment with new AI models, frameworks, and methodologies to identify potential business ... Experience working with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and ...

Showing results 21-40

New Grad Machine Learning information

See Johnston, IA salary details

$23.9K

$39.9K

$82.6K

How much do new grad machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for new grad machine learning in Johnston, IA is $39,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,200.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What cities near Johnston, IA are hiring for New Grad Machine Learning jobs?

Cities near Johnston, IA with the most New Grad Machine Learning job openings:

AI Test Automation Engineer

RFA Engineering

Urbandale, IA • On-site

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 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.
AI Test Automation Engineer
We are seeking multiple AI Test Automation Engineers to help transform and modernize software testing through the use of artificial intelligence, intelligent automation, and advanced data-driven tools. This team will focus on creating smarter, faster, and more scalable approaches to software validation by leveraging AI-assisted workflows, automation technologies, intelligent agents, and advanced analytics.
This role is ideal for engineers who enjoy solving complex problems, building innovative tools, and applying AI technologies to real-world engineering and operational challenges.
Job Responsibilities
  • Develop AI-assisted tools and workflows that improve software testing efficiency and productivity
  • Design and implement intelligent automation solutions for regression testing and validation activities
  • Create AI-enabled systems for anomaly detection, issue identification, and automated analysis
  • Build tools that assist with test planning, test execution, reporting, and diagnostics
  • Develop scripts, utilities, dashboards, and integrations that automate repetitive engineering tasks
  • Leverage machine learning, agentic AI, large language models, or intelligent agents to improve engineering workflows
  • Analyze testing data and system behavior to identify trends, inefficiencies, and optimization opportunities
  • Integrate automation tools with APIs, databases, cloud services, and existing engineering platforms
  • Collaborate with engineering, software, and test teams to understand pain points and develop scalable solutions
  • Rapidly prototype and evaluate proof-of-concept AI solutions
  • Contribute to long-term strategies focused on transforming software testing and engineering operations
  • Support continuous improvement initiatives focused on smarter and more autonomous testing processes

Required Qualifications
  • Bachelor's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or related field
  • Experience with software development, automation, or engineering tool development
  • Experience programming in Python, JavaScript, C++, or similar languages
  • Strong understanding of automation concepts, scripting, and workflow optimization
  • Experience working with APIs, data processing, or systems integration
  • Strong analytical and problem-solving skills
  • Ability to quickly learn and apply new technologies
  • Strong communication and collaboration skills

Preferred Qualifications
  • Experience with AI/ML technologies, large language models, or agentic AI systems
  • Experience building intelligent automation tools or AI-assisted workflows
  • Familiarity with machine learning frameworks, data analytics, or anomaly detection techniques
  • Experience with cloud platforms, databases, or distributed systems
  • Experience integrating with engineering or testing platforms
  • Familiarity with software testing, validation, or DevOps workflows
  • Experience with telemetry, logging, or real-time data analysis tools
  • Understanding of CI/CD pipelines and automated testing frameworks
  • Experience using AI coding assistants or AI-enhanced development tools

Desired Attributes
  • Passion for AI, automation, and emerging technologies
  • Creative mindset focused on solving problems in new ways
  • Strong curiosity and willingness to experiment with new tools and approaches
  • Self-motivated with the ability to work independently on ambiguous challenges
  • Interest in transforming traditional engineering processes through intelligent automation
  • Ability to balance rapid innovation with practical engineering solutions

Pay Range: $90,000-$150,000 - 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
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.