Principal Scientist, Machine Learning, Genomics
Tasks
- Contribute to project planning budgets and timelines
- Design LLM based agent workflows
- Drive model benchmarking and scaling
- Identify risks and tradeoffs
- Implement AI systems into production grade systems
- Lead development and delivery of AI ML computational projects
- Manage cross functional technical contributors
- Mentor scientists and engineers
- Oversee method development and pipeline development
- Present complex findings to diverse audiences
- Represent PI to venture teams and external partners
- Scout emerging literature and AI ML landscape
- Synthesize research into development strategies
Perks/Benefits
Skills/Tech-stack
AWS | AWS Batch | Airflow | Argo | CI/CD | Cheminformatics | DVC | Data Lineage | Deep learning | Diffusion Models | Docker | Docking | ECS | EKS | Experiment tracking | Faiss | FastAPI | Flow Models | Generative Modeling | Git | GitHub Actions | Gradio | Graph Neural Networks | JAX | LakeFS | MLOps | MLflow | Neural Networks | PGVector | PostgreSQL | Prefect | PyTorch | Python | Redshift | S3 | SageMaker | Snowflake | Streamlit | TensorFlow | Terraform | Variational Autoencoders | Vector Search | Weights and Biases
Education
Regions
Countries
States
Cities
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