AI & Machine Learning Engineer
Lightspeed
- Northbrook, Illinois, United States
- Northbrook, Illinois, United States
À propos
Develop reinforcement learning and imitation learning systems for robot task planning
Build predictive maintenance models using sensor data to anticipate equipment failures
Implement anomaly detection for real‑time quality monitoring during automated assembly
Optimize model inference for edge deployment on GPU‑accelerated hardware in production
Computer Vision & Perception Develop deep learning pipelines for object detection, segmentation, and pose estimation
Build real‑time vision systems for robotic guidance, workpiece tracking, and dimensional verification
Implement 3D point cloud processing for construction material recognition
Design and train models for visual quality inspection using depth cameras and industrial imaging
Data Infrastructure & MLOps Build ML data pipelines from sensor acquisition through model training and deployment
Establish data labeling, versioning, and management workflows for training datasets
Implement model monitoring, A/B testing, and continuous improvement in production
Design experiment tracking and reproducibility infrastructure (MLflow, Weights & Biases)
Integration & Deployment Integrate ML models with ROS2-based robot control for real‑time inference
Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms
Collaborate with robotics engineers on sensor selection, placement, and calibration
Support scaling ML systems across multiple production cells and sites
Required Qualifications: AI/ML Expertise 4+ years hands‑on ML engineering building and deploying production models
Deep proficiency with PyTorch or TensorFlow for model development and training
Strong computer vision experience: object detection, segmentation, depth estimation, or 3D vision
Understanding of reinforcement learning, imitation learning, or robot learning approaches
Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization)
Software Engineering Strong Python with experience in C++ for performance‑critical components
Experience with ML infrastructure: data pipelines, experiment tracking, model serving
Proficiency with Linux, Docker, Git, and CI/CD workflows
Understanding of real‑time system constraints for ML inference in production
Preferred Qualifications: MS or PhD in Machine Learning, Computer Science, Robotics, or related field
Experience with robotics simulation: MuJoCo, IsaacSIM, or similar
Background in manufacturing, industrial automation, or construction technology
Experience with ROS/ROS2 integration for ML‑powered robotics
Published research or patents in computer vision, robot learning, or related ML
Experience with NVIDIA ecosystem: CUDA, cuDNN, TensorRT, Jetson platforms
Why Join LightSpeed: Build AI systems that directly control physical robots addressing the housing crisis
Work on rare real‑world ML challenges: real‑time inference, embodied AI, industrial perception
Access to rich proprietary datasets from production robot cells
Hands‑on culture with direct access to robots, sensors, and manufacturing environments
Competitive compensation including salary, equity, and comprehensive benefits
Employment Relationship This position is at‑will, meaning either you or the Company may terminate employment at any time, with or without cause or notice. Equal Opportunity LightSpeed Build Technologies is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and experiences.
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Compétences linguistiques
- English
Avis aux utilisateurs
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