Machine Learning Engineer, Intelligent Sensing Technology - Incubation

What you'll do

• Train models, integrate sensing systems, and rapidly prototype exploratory experiences.
• Build end-to-end ML pipelines from data acquisition and preprocessing through training, evaluation, and deployment.
• Architect systems that fuse multimodal signals with ML models on mobile, wearable, or robotic platforms.

What they ask for

• BS and at least 3 years of relevant industry experience in machine learning or AI engineering.
• Familiarity with transformers, reinforcement learning, and predictive inference.
• Strong coding skills across modern ML frameworks (e.g. PyTorch), including practical use of AI-assisted development tools.
• Experience building end-to-end ML pipelines and integrating multimodal sensing systems with ML models.

Nice to have

• MS or PhD with substantial applied research experience in a relevant area.
• Familiarity with on-device or edge ML deployment; backgrounds in robotics, embedded systems, Bayesian reasoning, or physics-based ML are also noted.

Pay

$150,400 and $277,600 (base salary range)

Tools

PyTorch, transformers, reinforcement learning, predictive inference, vision, audio, IMU, LiDAR

AI focus

Develop and integrate ML/AI models for intelligent sensing and camera experiences, including multimodal sensing, model training, and deployment.