Scientist I, AI Engineer
South San Francisco, California, United States
USD 134K-158K Mid-level Full Time
Tasks
- Apply human in the loop checkpoints
- Build multi agent systems for research workflows
- Conduct SAR analysis using machine learning
- Create monitoring and batch inference pipelines
- Deploy deep learning models to serving infrastructure
- Design multimodal AI model architecture
- Develop generative molecular design approaches
- Develop virtual screening and ADMET models
- Implement molecular representations using GNNs
- Implement tool calling and error recovery
- Orchestrate supervisor subagent workflows
- Train and deploy multimodal RAG pipelines
- Train deep learning models for molecular property prediction
- Train multimodal AI models
Perks/Benefits
- 401k
- Dental insurance
- Family leave
- Free food and snacks
- Health insurance
- Life insurance
- Long-term disability
- Paid time off
- Retirement plan
- Short-term disability
- Stock option plan
- Training and development
- Vision insurance
- Wellness resources
Skills/Tech-stack
ADMET | Active Learning | Autoregressive Transformers | Deep learning | DeepSpeed | Diffusion Models | Distributed Training | Equivariant Networks | FSDP | GNN | Generative AI | Graph Neural Networks | Learned Fingerprints | Machine Learning | Mixture of Experts | Molecular property prediction | Molecular representation | Molecular representation learning | Multimodal Learning | Neural Networks | Property Prediction | Python | RAG | Reinforcement Learning | Representation Learning | Retrieval-Augmented Generation | Self-Supervised Learning | Self-supervised | Structure-activity relationship | Supervised Learning | Transfer Learning | Variational Autoencoders | Virtual Screening
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
Regions
Countries
States
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