# Member of Technical Staff (Software Engineer, Applied AI)

**Company**: Perplexity
**Location**: San Francisco, California
**Experience**: senior
**Job type**: full-time
**Salary**: $220K - $405K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/Perplexity/3c656963-876a-458d-bca6-916a42a24c1a?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/member-of-technical-staff-software-engineer-e98f4276-18f/

## Description

Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer.

Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe.

Key Responsibilities:

- Apply state-of-the-art ML and LLM techniques to solve problems spanning: Personalization (LLM memory, context summarization, retrieval and ranking); Contextual recommendations and Monetization applications

- Build frontier agent capabilities on top of Perplexity Computer

- Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.

- Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces.

- Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.

- Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.

Preferred Qualifications:

- 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products.

- Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments.

- In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement.

- Proven collaborator and communicator; excels in high-velocity, cross-functional teams.

- Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.

- BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).

Bonus Points For:

- Experience with LLM context engineering or harness engineering.

- Experience in mid-training or post-training frontier open source models

- Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).

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## Skills

### Required
- Python
- ML
- LLM
- AI
- software engineering

### Nice to have
- LLM context engineering
- harness engineering
- frontier open source models
- large scale user-centric and content-centric personalization

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/Perplexity/3c656963-876a-458d-bca6-916a42a24c1a?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)