Machine Learning Engineer (NYC)
Tasks
- Build foundational biological models
- Design distributed training systems
- Develop generative deep learning models
- Engineer large-scale data pipelines
- Ensure data integrity and prevent leakage
- Implement evaluation frameworks
- Optimize multi GPU and multi node training
Perks/Benefits
Skills/Tech-stack
Autoencoders | Data Pipelines | Deep learning | Diffusion Models | Distributed Computing | GPU Training | Git | High Performance | High-Performance Computing | JAX | ML Ops | Machine Learning | Model Evaluation | Multi-GPU | Multi-GPU Training | Multi-node | Multi-node Training | Performance Computing | Pretraining | PyTorch | Python | TensorFlow | Transformers | Version control
Education
Regions
Countries
States
Cities
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