Lead Machine Learning Researcher
Tasks
- Author technical ML manuscripts
- Contribute grant proposals and reports
- Contribute open source model and code releases
- Deliver machine learning deliverables
- Design train and evaluate multi modal foundation model
- Develop generative and self supervised representations
- Ensure reproducibility and best practice standards
- Lead federated co development
- Lead interpretability and uncertainty quantification
- Maintain research innovation roadmap
- Oversee ML researchers work
- Set scientific and technical direction
Perks/Benefits
- N/A
Skills/Tech-stack
Autoregressive models | Class imbalance | Cloud modeling | DVC | Data Modeling | Data Versioning | Dataset Bias | Deep learning | Diffusion Models | Distributed Training | Distribution Shift | Experiment tracking | Explainable AI | Federated Learning | Fine Tuning | Foundation Models | GPU Training | Generative Modeling | Git | GitHub | GitLab | Imaging data | Label Noise | MLflow | Missing Data Modeling | Missing data | Model Interpretability | Model versioning | Multi-GPU | Multi-GPU Training | Multi-Modal | Multi-Modal Learning | Open Source | Point Cloud | Point Cloud Modeling | Privacy-preserving | Privacy-preserving learning | Prompting | PyTorch | Python | Reproducible Research | Reproducible training | Self-Supervised Learning | Self-supervised | Supervised Learning | Tabular Data | Transfer Learning | Transformers | Uncertainty Quantification | Variational Autoencoders | Version control | Weights & Biases
Education
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