Robotics Learning Engineer
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Before you apply
Salary$170k – $400k
LocationSunnyvale
Work modeon-site
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentAI & Autonomy
EquityIncluded
Company size51–200 people
PostedMar 2, 2026 · 8mo ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Mar 2, 2026
At a glanceSummarised by Seekless from the posting.
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
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.)
Skills
Python
C++
TensorFlow
PyTorch
ROS
Gazebo
MuJoCo
Isaac Sim
SLAM
Benefits
Bonus
Equity
Health insurance
401(k)
Remote stipend
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.)
Benefits
The base salary range for this full-time position is $170,000 - $400,000, in addition to bonus, equity and benefits.
Hiring process
To apply, submit your resume here or email [email protected]. 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.