Member of Technical Staff
Hands-on technical role building AI-powered tools, infrastructure, and processes to accelerate engineering velocity and product delivery at an AI search company.
About the job
Key Responsibilities
- Identify, prioritize, and execute on the highest-potential opportunities to accelerate Perplexity’s delivery cadence with frontier AI capabilities.
- Develop empathy for the nuances of our technical and business teams’ work across disciplines and verticals, toward collaborating with them to harness AI in new ways.
- Make our codebases, systems, and knowledge stores legible to AI.
- Help the company triangulate toward the optimal point on the quality-velocity Pareto frontier, while shifting that frontier outward with AI tools and agents.
- Keep abreast of new AI tools/models and make maximally effective use of them in your own work, setting an example across the company and inspiring others to do the same.
- Help the company make high-conviction bets on specific technologies in situations where indecision is a comfortable and tempting default.
- Work with engineering leadership, recruiting, and others to ensure we instill an AI-forward culture and select for those who will thrive in such an environment.
- Build both prototypes and production systems, as well as reengineer codebases, infrastructure, processes, and anything else that must evolve to realize this vision.
Qualifications
- 5 to 15+ years of industry experience, ideally with a substantial portion focused on infrastructure/platform engineering or developer acceleration in environments featuring significant technical complexity.
- Daily use of AI models/tools, along with strong intuition on their jagged frontiers.
- Proficiency with Python, along with experience and/or desire to learn more about Rust, TypeScript, Go, and other languages.
- Strong understanding of (and empathy for) the work of technical staff across disciplines, along with an enthusiasm to learn about the work of business and operations teams.
- Broad working knowledge of the typical stacks used by AI product & applied research companies.
- An obsession with improving the legibility of (and reducing brittleness in) both software and human-orchestrated processes.
- Experience navigating tricky exploration-exploitation tradeoffs, balancing the need to ship today with the need to build capacity for tomorrow.
Skills
Python, Rust, TypeScript, Go, CUDA, Infrastructure Engineering, Platform Engineering, Developer Experience, AI Tools, Ai Models
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