Applied Machine Learning Scientist - Vice President
Palo Alto, CA, United States
USD 107K-160K (estimate) Executive-level Full Time
Tasks
- Apply reinforcement learning for personalization and sequential decision making
- Collaborate with cross-functional teams to deploy models into production
- Deploy production grade machine learning solutions
- Design and build agentic AI multi step workflows
- Establish experiments with baselines and metrics
- Evaluate and analyze model performance
- Fine-tune and adapt large language models
- Implement privacy safety and security controls for GenAI
- Implement tool and function calling agents
- Lead machine learning system development for NLP
- Orchestrate multi-agent systems
- Scale LLM systems for latency and cost
Perks/Benefits
- Backup childcare
- Financial coaching
- Health and wellness programs
- Health insurance
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | AdaLoRA | Agent Orchestration | B testing | Bandits | CI/CD | Deep learning | Dense retrieval | Efficient Fine Tuning | Evaluation | Fine Tuning | Human Feedback | IA3 | Information Retrieval | Jailbreak Resistance | Knowledge Distillation | LLMOps | Language Models | Language Processing | Large Language Models | LoRA | MLOps | Machine Learning | Model Monitoring | Model versioning | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | Policy Optimization | Privacy | Prompt engineering | Python | Quantization | RLHF | Re-ranking | Recommendation Systems | Reinforcement Learning | Retrieval-Augmented Generation | Safety | Security | Sparse Retrieval | Tool-Calling | Transformer
Education
Regions
Countries
States
Cities
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