Machine Learning Engineer: Multimodal Sensor Fusion

What you'll do

• Leading the development of cutting-edge multimodal fusion algorithms from concept to deployment.
• Driving technical discussions and preparing presentations on advanced sensor fusion techniques.
• Architecting proof-of-concepts for novel hardware integration with deep learning models.
• Establishing coding standards and best practices for efficient model development.
• Optimizing multimodal deep learning models for edge devices in resource-constrained environments.

What we're looking for

• 3+ years of experience in software engineering, deep learning, sensor fusion, or related fields.
• Proficiency in Python development and deep learning frameworks like PyTorch.
• Strong math skills including linear algebra, computational science, and optimization.
• Experience in developing and shipping algorithms for real-world applications.
• Hands-on experience working with sensors and hardware in innovative projects.