Senior ML Engineer, Foundation Models
Tasks
- Build evaluation frameworks for real world generalization and reliability
- Collaborate with data and platform teams on model serving constraints
- Define model architecture and training objectives
- Deploy models onto physical robots in production environments
- Design data infrastructure and training data augmentation strategies
- Develop pre training fine tuning and alignment pipelines
- Evaluate foundation model architectures for robotics manipulation
- Translate research advances into production systems
Perks/Benefits
Skills/Tech-stack
Behavior Cloning | Data Augmentation | DeepSpeed | Diffusion Models | Distributed Training | FSDP | Joint Embedding | Language Models | Machine Learning | Multimodal Learning | ONNX | Performance Profiling | PyTorch | Python | Quantization | Robotics | Simulation | TensorRT | Transformers | Vision Language Models | Vision-language | World Models
Education
N/A
Regions
Countries
States
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