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Junior Machine Learning Jobs in Iowa (NOW HIRING)

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze intricate challenges and provide actionable insights - Mentor and guide junior team members in their ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Development Architect

Bevington, IA · On-site

$1.3K - $34K/yr

Familiarity with data analytics and machine learning applications in agriculture. Responsibilities ... Provide technical guidance and mentorship to junior developers and team members. Skills: The ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

We are open to strong junior candidates with the right mindset. * Mandatory strong experience with ... Exposure to data modeling, statistical methods, and machine learning techniques. * Experience ...

... junior staff * Master's degree from a science, technology, engineering, or mathematics-designated program * One or more certifications in artificial intelligence, machine learning, Amazon Web ...

Mentor junior analysts by providing guidance on analytical methodologies, reporting standards, and ... Experience with AI and machine learning tools or data quality automation solutions. * Knowledge of ...

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Junior Machine Learning information

See Iowa salary details

$7

$25

$44

How much do junior machine learning jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for junior machine learning in Iowa is $25.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $31.15 per hour, depending on experience, location, and employer.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Iowa? The most popular types of Machine Learning jobs in Iowa are:
What are popular job titles related to Junior Machine Learning jobs in Iowa? For Junior Machine Learning jobs in Iowa, the most frequently searched job titles are:
Infographic showing various Junior Machine Learning job openings in Iowa as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $52,663 per year, or $25.3 per hour.
Robotics Software Engineer 1 (Junior)

Robotics Software Engineer 1 (Junior)

Auzmor

Des Moines, IA • On-site

Full-time

Posted 14 days ago


Job description

Title: Robotics Software Engineer 1 (Junior)
Description
Auzmor is redefining workforce training by seamlessly integrating human and robotic skill development to empower the hybrid workforce of tomorrow. As a Robotics & AI Research Engineer in our Robotics Division, you will lead pioneering research to enhance robotic capabilities through advanced artificial intelligence, focusing on areas such as autonomous decision-making, object recognition, and natural language processing for human-robot interaction. You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor's end-to-end hybrid workforce training platform. Collaborating with robotics software, simulation, and compliance teams, you will create AI-driven training modules, proprietary algorithms, and skill development tools, ensuring robust integration with robotic systems for applications in manufacturing, logistics, and healthcare.
This role is essential to achieving Auzmor's mission of delivering 25% improvement in human-robot efficiency, addressing the 35% skills gap in human-robot collaboration, and maintaining a 2-3 year lead in the $45B robotic training market by 2028, growing to $100B by 2030.
Key Responsibilities
Software Development: Write, optimize, and maintain high-performance code in Python, C++, and ROS 2 to support robotic autonomy, perception, and control systems.
Perception and Autonomy: Implement and refine perception systems using computer vision (e.g., OpenCV), sensor fusion (LIDAR, IMU), and neural policies for adaptive tasks like dynamic grasping or inventory scanning.
Skill Creation: Develop no-code Task Creator UI components and behavior trees for deterministic tasks (e.g., assembly) to support Auzmor's skill development platform.
Simulation and Testing: Build and test software in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios) to achieve 95% task success and 0.1% collision rates; conduct supervised real-world trials.
Fleet Monitoring and Retraining: Integrate software with AWS IoT Greengrass for real-time telemetry, anomaly detection (e.g., identifying 5% failure rates), and continuous learning updates to neural policies and behavior trees.
Compliance and Certification: Ensure software supports digital badge generation for OSHA and EU AI Act compliance; implement safety standards per ISO 10218.
Collaboration: Partner with AI teams to integrate machine learning models (e.g., TensorFlow, PyTorch) into robotic systems and work with enterprise clients to customize task-specific skills.
Deployment: Support OTA updates, skill versioning, and rollbacks for fleets of 100+ robots, ensuring scalability and reliability.
Requirements
Education: Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
Experience:
• 1 to 3 years of experience in robotics software development, with a focus on autonomy, perception, or control.
• Proven expertise in Python, C++, and ROS 2; familiarity with OpenCV, TensorFlow, or PyTorch.
• Experience with real-time systems, embedded software, and sensor integration (e.g., LIDAR, cameras).
• Prior work with simulation platforms (e.g., NVIDIA Isaac Sim, Gazebo) is a plus.
Technical Skills:
• Proficiency in developing algorithms for navigation, path planning, and human-robot interaction.
• Knowledge of behavior trees, neural policies, or reinforcement learning for robotic tasks.
• Familiarity with AWS IoT Greengrass or similar IoT platforms for telemetry and monitoring.
Soft Skills: Strong problem-solving abilities, teamwork, and communication skills to collaborate with cross-functional teams and enterprise clients.
Preferred: Experience in manufacturing, logistics, or healthcare robotics applications; knowledge of compliance standards (OSHA, EU AI Act, ISO 10218).
Why Needed
The Robotics Software Engineer is a cornerstone of Auzmor's Robotics Division, driving the development of software that powers our end-to-end hybrid workforce training platform. This role directly supports Auzmor's Phase 2 (2025) goals of launching AI agent training modules, Task Creator prototypes, and robotic training pilots, as well as Phase 3 (2026) objectives of full-scale neural policy deployment and anomaly detection. By addressing the 35% skills gap in human-robot collaboration and enabling 99% fleet uptime, this position aligns with Auzmor's vision to capture a share of the $45B robotic training market by 2028, growing to $100B by 2030.
Why Auzmor?
Impact: Be part of a 2-3 year lead in hybrid workforce training, working with 100+ enterprise clients, including Fortune 500 companies.
Innovation: Leverage Auzmor's 6-year AI/ML stack, ROS 2-compatible platform, and partnerships with NVIDIA and AWS to build state-of-the-art robotics solutions.
Growth: Join a team targeting $18M ARR in 2025 and $27.2M by 2028, with opportunities to shape a rapidly expanding industry.
Culture: Collaborate with a dream team, including our CPO and VP of Robotics, in a dynamic, mission-driven environment.
Location
Des Moines, Iowa, USA
Compensation
Competitive salary, equity options, and comprehensive benefits
Auzmor is an equal-opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates.

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About Auzmor

Sourced by ZipRecruiter

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

West Des Moines, IA, US

Year founded

2017