Machine Learning Engineer - Foundational
Tasks
- Audit EO IR data lakes
- Build distributed training pipelines
- Collaborate with data engineers on ingestion pipelines
- Coordinate model handoff with edge AI team
- Design multi modal self supervised learning architectures
- Develop representation evaluation metrics
- Implement data fusion methods
- Optimize multi node GPU training
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CLIP | Computer Vision | Contrastive Learning | Cross-Attention | DINO | Data loading | Distributed Training | Go | Linear Probing | MAE | Masked Autoencoders | Mixed Precision | Mixed-precision training | Multi-GPU | Multi-node | Multi-node computing | Multimodal Learning | Network architectures | Neural Network | Neural Network Architectures | PyTorch | PyTorch distributed | Rust | Self-Supervised Learning | Self-supervised | Supervised Learning | Vision Transformer
Education
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