Robotics Machine Learning Engineer
Career GuideKey Responsibilities
- Design machine learning models for perception, prediction, and control
- Collect and label robotics data from sensors and logs
- Train and evaluate models using offline datasets and simulation
- Deploy models to robots with attention to speed, memory, and reliability
- Integrate models with robotics software for sensing, planning, and control
- Create test plans for real world and simulation validation
- Monitor performance in production and investigate failures
- Improve data pipelines and model retraining workflows
- Work with hardware and safety teams to ensure safe behavior
- Document system behavior and communicate results to stakeholders
Top Skills for Success
Python
C Plus Plus
Machine Learning
Deep Learning
Computer Vision
Reinforcement Learning
State Estimation
Sensor Fusion
Motion Planning
Control Systems
Robot Operating System
Simulation
Data Engineering
Model Evaluation
Experiment Design
System Debugging
Technical Writing
Cross Functional Communication
Career Progression
Can Lead To
Senior Robotics Machine Learning Engineer
Staff Robotics Machine Learning Engineer
Robotics Technical Lead
Robotics Architect
Robotics Research Scientist
Transition Opportunities
Machine Learning Engineer
Computer Vision Engineer
Autonomy Engineer
Robotics Software Engineer
Applied Scientist
Common Skill Gaps
Often Missing Skills
Deploying models on edge devicesReal time performance optimizationRobust evaluation in long tail scenariosSafety validationDataset versioningSimulation to real transferFailure analysis from field logsSensor calibration
Development SuggestionsBuild a portfolio project that runs on real hardware or a high fidelity simulator, includes a repeatable data pipeline, and reports clear metrics such as latency, accuracy, and reliability. Practice debugging with logs and add test cases that cover rare edge conditions.
Salary & Demand
Median Salary Range
Entry LevelUSD 110,000 to 145,000
Mid LevelUSD 145,000 to 195,000
Senior LevelUSD 195,000 to 260,000
Growth Trend
Growing demand, driven by automation in warehouses, factories, healthcare, and transportation. Hiring is strongest for candidates who can ship models to real robots and show measurable reliability improvements.Companies Hiring
Major Employers
TeslaWaymoZooxAuroraBoston DynamicsAmazon RoboticsNVIDIAAppleGoogle DeepMindABBFanucIntuitive Surgical
Industry Sectors
Autonomous VehiclesWarehouse AutomationIndustrial RoboticsHealthcare RoboticsConsumer RoboticsAerospace and DefenseAgriculture TechnologyLogistics Technology
Recommended Next Steps
1
Create a project that performs object detection or depth estimation and deploy it to a small robot platform2
Build a sensor dataset pipeline with labeling, versioning, and automated training runs3
Implement a motion planning or control module and connect it to a learned perception model4
Set up evaluation metrics that measure accuracy, latency, and stability over time5
Practice writing clear incident reports for failures found during testing6
Contribute to an open source robotics repository with code reviews and documentation7
Prepare interview stories that highlight deployment tradeoffs, debugging, and measurable improvements8
Network with robotics teams in logistics, healthcare, and autonomy to learn what they deploy today