Machine Learning Research Engineer
Tasks
- Build and optimize open source models
- Build and optimize proprietary models
- Collect data from human interactions
- Create synthetic training data
- Design models for constraint reasoning
- Design models for graph related challenges
- Design retrieval algorithms
- Design search algorithms
- Structure and optimize training data
- Train and fine-tune large language models
- Train and fine-tune multimodal models
- Train foundation models from scratch
Perks/Benefits
- Dental insurance
- Free meals
- Health insurance
- Professional growth
- Unlimited PTO
- Visa sponsorship
- Vision insurance
Skills/Tech-stack
CUDA | Distributed Training | Fine Tuning | Generative Models | HPC | High Performance | High-Performance Computing | Inference Optimization | Language Processing | Machine Learning | Model Architecture | Multimodal Learning | Natural Language | Natural Language Processing | Operating System | Operating System Optimization | Performance Computing | Pretraining | Prompting | PyTorch | Python | Retrieval | Search Algorithms | Sequence Modeling | System Optimization | Triton
Education
N/A
Regions
Countries
States
Cities
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