Member of Technical Staff Machine Learning Engineer Search and Agents
PerplexityVisit Perplexity website
Perplexity is an AI-powered answer engine that provides real-time, cited answers and research capabilities.
San Francisco, United States
Funding history
About Perplexity
Private AI company founded in 2022. Its products combine conversational search and research with cited web sources; it also offers developer-facing Search, Agent, Router, and Embeddings APIs.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will improve search and agent quality through model, training-data, tool, and system improvements. You will develop post-training methods, train and evaluate multi-agent systems, build agent harnesses, improve retrieval and ranking, create evaluations, and take experiments through deployment.
Requirements
- Machine learning systems
- LLM post-training
- Reinforcement learning
- Search
- Retrieval
- Agent systems
- Software engineering
- Model training
- Experimentation infrastructure
- Production systems
- Evaluation
Responsibilities
- Improve search and agent quality through models, training data, tools, and system design
- Develop LLM post-training methods and reinforcement learning
- Train and evaluate multi-agent systems
- Design and build agent harnesses
- Improve retrieval and ranking models
- Build datasets, reward signals, and evaluations
- Own experiments from hypothesis through deployment
- Collaborate to bring new capabilities into production