Currently tracking 30 active AI roles, up 77% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $175k–$485k (avg $328k).
AI Frontier · AI search
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff (AI Research Lead) AI Research Lead at Perplexity to drive research strategy and lead development of in-house Online LLMs (Sonar models). Role involves setting macro research direction across modalities, mentoring researchers, and scaling model performance using query/answer datasets. | Post-trainPretrain | 9 |
| Member of Technical Staff (AI Researcher) AI Research Scientist/Engineer at Perplexity focused on advancing AI-powered search and agent experiences. The role involves post-training SOTA LLMs using SFT/DPO/GRPO, leveraging query/answer datasets, and developing in-house improvements. Responsibilities include owning full-stack data, training, and evaluation pipelines, building robust training frameworks, and integrating models into the product suite. Experience with large-scale LLMs, Deep Learning, Python/PyTorch, and post-training techniques is required. Nice-to-haves include PhD, experience with agent systems, and personalization. |
| Post-trainAgent |
| 9 |
| Member of Technical Staff (Machine Learning Research Engineer) Seeking an ML Research Engineer to advance search technologies, focusing on retrieval and ranking. Responsibilities include architecting and building core search platform components, designing/training/optimizing large-scale deep learning models (PyTorch, distributed training), conducting research in representation learning (contrastive, multilingual, multimodal), deploying models, and building RAG pipelines. Requires deep understanding of search/retrieval, large-scale search/recommender systems experience, PyTorch proficiency, expertise in representation learning, and a strong publication record. | AgentServe | 9 |
| Member of Technical Staff (Secure Intelligence Institute) Research role focused on advancing security, privacy, and trust in frontier AI systems, developing novel defenses, and building evaluation frameworks, with a strong emphasis on translating research into practical product improvements and publishing findings. | AgentEval Gate | 9 |
| Internship - Machine Learning Research Engineer Internship role focused on advancing search quality through research and engineering of large-scale deep learning models, representation learning, and RAG pipelines. Involves distributed training, optimization, and evaluation of retrieval and ranking models. | DataAgent | 9 |