1 day ago
Redmond, WA, USAMid Level
H1B sponsor
Base Salary
$102k - $219k/yr
Responsibilities
- Develop and train vision-language-action, imitation-learning, and reinforcement-learning models for robot manipulation, locomotion, and navigation.
- Build and optimize robot-learning data pipelines for teleoperation demonstrations, preprocessing, augmentation, quality filtering, and dataset versioning.
- Train models on GPU clusters using distributed training, hyperparameter optimization, curriculum learning, and automated training infrastructure.
- Deploy models to physical robots, evaluate them in real-world settings, and debug sim-to-real transfer issues.
- Create evaluation frameworks covering task benchmarks, success rates, generalization, and regression detection.
- Collaborate with robotics researchers, simulation engineers, and platform engineers across the model development lifecycle.
- Write production-quality, well-tested Python code using NumPy, PyTorch, and JAX; review technical designs and mentor engineers.
- Track advances in robot learning, robotics foundation models, and physical AI and contribute to documentation and knowledge sharing.
Requirements
- Bachelor’s degree in computer science or a related technical field and 2+ years of technical engineering experience with coding, or equivalent experience.
- Ability to pass Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred qualifications include a master’s degree and 3+ years of experience, or a bachelor’s degree and 5+ years of experience, or equivalent experience.
- Experience with end-to-end robot learning, including imitation learning, reinforcement learning, or vision-language-action model training and deployment on physical robots.
- Proficiency in Python and deep experience with PyTorch, JAX, or TensorFlow for training and deploying deep-learning models.
- Experience with robot-learning data pipelines, teleoperation data collection, preprocessing, augmentation, and data curation.
- Hands-on experience deploying learned policies to physical robots, debugging sim-to-real transfer, and evaluating models in real-world settings.
- Familiarity with ROS/ROS2, robot-control interfaces, sensor processing, distributed GPU training, Azure Machine Learning, Kubernetes, or equivalent infrastructure.
- Familiarity with current research and leading open- and closed-source models in robot learning, foundation models, and physical AI.
Benefits
- The typical U.S. base-pay range is USD $102,100–$202,200 per year, with a separate San Francisco Bay Area and New York City metropolitan area range of USD $133,800–$219,200 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of five days, with applications accepted on an ongoing basis until filled.
Tech Stack
Categories
ML EngineeringRobotics
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.