Machine Learning Engineer, Intelligent Sensing Technology - Incubation

What you'll do

• Develop end-to-end ML pipelines for data acquisition, preprocessing, training, evaluation, and deployment.
• Prototype new intelligent sensing technologies using multimodal signals like vision, audio, IMU, and LiDAR.
• Integrate machine learning models with mobile, wearable, or robotic platforms in a systems engineering context.
• Apply deep practical knowledge of state-of-the-art ML/AI architectures to physical space applications.
• Clearly communicate technical tradeoffs, risks, and rationale to both technical and non-technical stakeholders.

What we're looking for

• BS degree in a relevant field and at least 3 years of industry experience in ML/AI engineering.
• Expertise in modern machine learning architectures like transformers, reinforcement learning, and predictive inference.
• Proficient coding skills with PyTorch and other contemporary ML frameworks.
• Proven ability to build complete end-to-end ML pipelines from data acquisition to deployment.
• Experience integrating multimodal sensing systems (vision, audio, IMU, LiDAR) with ML models on mobile/wearable devices.