AI Researcher

What you'll do

• Develop sensor-data foundation models and methods for representation learning, multimodal alignment, and self-supervised learning.
• Adapt pretrained models to new datasets, modalities, environments, and use cases; diagnose limitations and run experiments to improve performance.
• Collaborate with engineering and product teams to bring research advances into production systems.

What they ask for

• 8+ years developing advanced ML/AI systems, focused on real-world sensor data.
• Expertise in modern deep learning architectures, especially transformers, representation learning, and large-scale model training.
• Strong research and experimentation skills, including designing and evaluating new approaches.
• Excellent Python programming skills and experience with deep learning frameworks such as PyTorch.

Nice to have

• Familiarity with LLMs.
• Experience with self-supervised or contrastive learning for large unlabeled datasets, or with large-scale or distributed training infrastructure.

Tools

Python, PyTorch

AI focus

Research and build foundation models for physical-world sensor data, including multimodal learning, representation learning, self-supervised learning, and model adaptation.