Research Scientist Graduate (Conversational AI)- 2027 Start (PhD)
Seattle, Washington, United States
USD 150K-240K (estimate) None Full Time
Tasks
- Build agent runtime and loop control
- Build case mining root cause and replay verification pipeline
- Build tools and skill search systems
- Conduct post training SFT DPO and RL
- Design LLM judge evaluation and calibration
- Develop context memory for long multi turn agents
- Implement online experimentation and causal readout
- Implement production safety layer guardrails
- Implement retrieve then load retrieval
- Monitor safety and anti gaming for release gates
- Orchestrate skills tools and context
- Perform context compaction and summarization
- Run statistical evaluation with regression splits
- Ship conversational AI system to production and measure business impact
- Turn served conversations into training and evaluation signals
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | C++ | Canary Release | Causal Inference | Confidence Interval | Deep learning | Direct Preference Optimization | Evaluation | Fine Tuning | Go | Java | KV cache | Language Models | Language Processing | Large Language Models | MCP | Machine Learning | Mixture of Experts | Natural Language | Natural Language Processing | Non Inferiority | Non-inferiority testing | Off Policy | Off-policy evaluation | P-value | Paired Comparison | Policy Evaluation | Preference optimization | Prompt Caching | Python | RAG | RLHF | Regression testing | Reinforcement Learning | Retrieval-Augmented Generation | Reward Hacking | Reward Modeling | Rust | Statistical Analysis | Supervised Fine Tuning | TensorRT | TensorRT-LLM | Tool use | VLLM
Education
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