Member of Technical Staff (Perplexity Frontier Research)
Perplexity · New York City
About this role
## Member of Technical Staff (Perplexity Frontier Research) Welcome to the application portal for **Perplexity Frontier Research**. This initiative develops fundamentally new algorithms, models, and evaluations. We are building an **automated scientist** that can conduct deep research and provide the best quality service at the lowest cost. We are hiring **research scientists** for **permanent, full-time** positions. ### Focus Areas - Orchestration - Pre-training - Continual learning - Reinforcement learning - Systems - Evaluations ### What to Expect - Work will be released as **papers, blog posts, and code**. - Applications are evaluated on a **rolling basis**, with priority consideration for submissions received by **November 30, 2026**. ### How to Apply - Please refer to the initiative and application details: https://frontier-research-v7.pplx.app/ - When ready, complete and submit the application form. ### Qualifications 1. **Strong foundations & engineering fluency**: probability, optimization, linear algebra, algorithms; plus **Python** and a deep learning framework, with code that scales. 2. **Range**: researchers who are proficient engineers, and engineers who are also researchers (everyone builds). 3. **Evidence of excellence**: a result, system, proof, or model that others use or build on. 4. **Preference for understanding**: controls, ablations, honest baselines, and simple explanations. 5. **Agency & creativity**: fix what’s broken, ask questions that aren’t yet fashionable, and let ideas win on evidence. 6. **Helpful (not required)**: a PhD in a technical discipline; outstanding ML papers; prior work in focus areas; or large-scale empirical work with large models.
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