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Junior Machine Learning information
See Iowa salary details
$7.22 - $10.61
9% of jobs
$10.61 - $14
8% of jobs
$15.52 is the 25th percentile. Wages below this are outliers.
$14 - $17.39
16% of jobs
The median wage is $20.47 / hr.
$17.39 - $20.77
18% of jobs
$20.77 - $24.16
8% of jobs
$24.16 - $27.55
11% of jobs
$29.34 is the 75th percentile. Wages above this are outliers.
$27.55 - $30.93
8% of jobs
$30.93 - $34.32
8% of jobs
$34.32 - $37.71
6% of jobs
$37.71 - $41.09
3% of jobs
$41.09 - $44.48
3% of jobs
$7
$25
$44
How much do junior machine learning jobs pay per hour?
What is the difference between Junior Machine Learning vs Data Scientist?
| Aspect | Junior Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related field; some experience with ML tools | Bachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills |
| Work Environment | Entry-level projects, supervised tasks, team collaboration | Advanced analysis, model development, cross-functional teams |
| Industry Usage | Common in tech companies, startups, research labs | Widespread 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?
What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?
What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?
- Remote Tesla Machine Learning Engineer
- Deep Learning Ai
- Machine Learning Engineer Associate
- Machine Learning Engineer Quantization
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- Urgently Hiring Machine Learning Startup
- Machine Learning Research Intern
- Remote Machine Learning
- Contract Google Machine Learning Engineer
- Reinforcement Learning Internship

Job description
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.
About Auzmor
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
West Des Moines, IA, US
Year founded
2017