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Innovations In Learning Jobs (NOW HIRING)

ACLD

Job Coach

Bethpage, NY · On-site

$22.64 - $25.24/hr

Conduct observational assessments on site in order to assist the person supported in learning the ... Complete (within first year of employment) twenty-four (24) hours of OPWDD's Innovations in ...

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How much do innovations in learning jobs pay per year?

As of May 30, 2026, the average yearly pay for innovations in learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is the difference between Innovations In Learning vs Learning Designer?

AspectInnovations In LearningLearning Designer
Required CredentialsBachelor's degree in Education, Instructional Design, or related fieldBachelor's or Master's in Education, Instructional Design, or similar
Work EnvironmentEducational institutions, corporate training, e-learning companiesEducational institutions, corporate training departments, e-learning firms
Employer & Industry UsageUsed across education, corporate, and nonprofit sectors to develop innovative learning solutionsPrimarily in education and corporate sectors focusing on designing learning experiences

Innovations In Learning focuses on developing new methods and technologies to enhance learning experiences, often involving research and experimentation. Learning Designers create structured educational content and curricula based on established instructional principles. While both roles aim to improve education, Innovations In Learning emphasizes innovation and research, whereas Learning Designers focus on designing effective learning programs.

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What cities are hiring for Innovations In Learning jobs? Cities with the most Innovations In Learning job openings:
What states have the most Innovations In Learning jobs? States with the most job openings for Innovations In Learning jobs include:
What job categories do people searching Innovations In Learning jobs look for? The top searched job categories for Innovations In Learning jobs are:
Innovations In Learning jobs near you
Infographic showing various Innovations In Learning job openings in the United States as of May 2026, with employment types broken down into 11% Internship, 33% Full Time, 50% Part Time, and 6% Temporary. Highlights an 100% In-person job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Robotics Learning Engineer

Noble Machines, Inc

Sunnyvale, CA

Other

Posted 6 days ago

Job description

About Noble Machines

Noble Machines (formerly Under Control Robotics) builds multipurpose robots to support human workers in the world's toughest jobs-turning dangerous work from a necessity into a choice. Our work demands reliability, robustness, and readiness for the unexpected-on time, every time. We're assembling a mission-driven team focused on delivering real impact in heavy industry, from construction and mining to energy. If you're driven to build rugged, reliable products that solve real-world problems, we'd love to talk.

Position Overview

At Noble Machines, building is a team sport. As a machine learning engineer, you'll take ownership and lead the development of advanced machine learning and AI systems powering multipurpose humanoid robots in the real world. You'll design, implement, and optimize learning algorithms that enable robots to move fluidly across diverse environments while performing complex manipulation tasks.

Responsibilities
  • Create and optimize learning pipelines for training locomotion policies that generalize across environments
  • Develop and implement machine learning models for robot perception, decision-making, and motion planning
  • Create and optimize computer vision systems for environmental awareness and object recognition
  • Collaborate with the hardware team to integrate learning systems with the physical platforms
  • Design simulation environments for training and testing learning algorithms
  • Collect, process, and analyze field data to improve learning systems continuously
  • Develop metrics and benchmarks to evaluate robot learning performance
  • Stay current with the latest research and innovations in robotics and machine learning
Requirements
  • Master's or PhD in Robotics, Computer Science, Machine Learning, or related field
  • 3+ years of experience developing machine learning applications for robotics systems
  • Strong programming skills in Python, C++, and relevant ML frameworks (TensorFlow, PyTorch)
  • Experience with reinforcement learning, computer vision, and motion planning algorithms
  • Familiarity with ROS (Robot Operating System) or similar robotics frameworks
  • Knowledge of control systems and robot kinematics
  • Strong mathematical background in linear algebra, calculus, and statistics
  • Experience with simulation tools for robotics (Gazebo, MuJoCo, Isaac Sim, etc.)
  • Proven track record of implementing ML solutions in robotics applications
  • Experience with legged robot locomotion and dynamic stability control
Nice to Have
  • Experience with humanoid robots or complex multi-joint robotic systems
  • Knowledge of model predictive control (MPC) for locomotion
  • Familiarity with trajectory optimization for legged robots
  • Knowledge of industrial environments (construction, energy, mining, or manufacturing)
  • Understanding of safety considerations for learning-based robotic systems
  • Experience with edge computing and deploying ML models on embedded systems
  • Familiarity with human-robot interaction paradigms
  • Background in imitation learning or learning from demonstration
  • Experience with SLAM (Simultaneous Localization and Mapping) techniques
  • Publications in relevant conferences (ICRA, IROS, NeurIPS, etc.)

The base salary range for this full-time position is $170,000 - $400,000, in addition to bonus, equity and benefits.

To apply, submit your resume here or email people@noblemachines.ai. To increase your chances of being selected for an interview, we encourage you to include up to TWO examples of your most representative work featuring hardware demonstrations.

Apply