Principal Scientist, Machine Learning - Biomolecules
Tasks
- Communicate complex findings to diverse audiences
- Design LLM based agent workflows
- Drive model benchmarking and scaling
- Implement AI systems into production grade systems
- Lead AI ML or computational projects
- Manage and mentor cross-functional teams
- Oversee method development and pipeline development
- Plan project budgets resources and timelines
- Promote best practices in AI projects
- Represent company to venture teams and partners
- Scout emerging research and synthesize strategies
Perks/Benefits
Skills/Tech-stack
AWS Batch | AWS ECS | AWS EKS | AWS S3 | AWS SageMaker | Airflow | Amazon Redshift | Argo | CI/CD | DVC | Data Lineage | Data Warehousing | Databases | Deep learning | Docker | Experiment tracking | Faiss | FastAPI | GitHub Actions | Gradio | IaC | JAX | LakeFS | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | PGVector | Prefect | PyTorch | Python | Snowflake | Streamlit | TensorFlow | Terraform | Version control | Weights & Biases
Education
Regions
Countries
States
Cities
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