AI Engineer I
South San Francisco, California, United States
USD 100K-158K Mid-level Full Time
Tasks
- Build multi agent scientific workflows
- Build multimodal RAG pipelines
- Conduct virtual screening ADMET modeling and SAR analysis
- Deploy model serving endpoints and batch inference
- Deploy multimodal generative models
- Design multimodal AI model architecture
- Develop generative molecular design approaches
- Implement human-in-the-loop checkpoints
- Implement molecular representation learning
- Monitor deployed models
- Orchestrate supervisor subagent systems
- Perform tool calling and error recovery
- Train and deploy molecular property prediction models
- Train multimodal AI models
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Family leave
- Free food and snacks
- Health insurance
- IRA
- Life insurance
- Paid time off
- Retirement plan
- Stock options
- Training and development
- Vision insurance
- Wellness resources
Skills/Tech-stack
ADMET | Active Learning | Autoregressive models | Deep learning | DeepSpeed | Diffusion Models | Distributed Training | Equivariant Networks | FSDP | Generative AI | Graph Neural Networks | Language Processing | Learned Fingerprints | Machine Learning | Mixture of Experts | Molecular representations | Multi-task Learning | Multimodal Learning | Natural Language | Natural Language Processing | Neural Networks | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | SAR | Self-Supervised Learning | Self-supervised | Supervised Learning | Transfer Learning | Transformer | Variational Autoencoder | Virtual Screening
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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