Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gill, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, Nvidia, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.
Perplexity is seeking an experienced Tech lead to help drive the user engagement to next level. In this role, you'll work across different areas across personalization, discovery, agents and evaluations to use AI/ML techniques to drive user engagement at the Perplexity.
Responsibilities
- Lead the research, design, and implementation of an E2E engagement platform which powers different AI applications at Perplexity. Define the future of Perplexity’s AI & ML systems by transforming Perplexity into an engagement powerhouse.
- Collaborate with product, search, browser, and other AI teams to implement compatible and cross-platform solutions to increase user retention.
- Stay abreast of the latest advancements in AI, applying new research, frameworks, and tools to enhance our personalization and discovery systems.
- Mentor and guide a team of engineers, fostering a culture of technical excellence, innovation, and continuous learning.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field (PhD preferred)
- 10+ years of experience in AI/ML engineering, with a proven track record of building and deploying large-scale, consumer facing personalization or recommendation systems.
- Experience developing LLM techniques—including post-training, evaluation, inference, and APIs.
- Sufficient business and technical acumen in using AI techniques like prompt engineering and RAG to solve challenging problems.
- Deep expertise in machine learning, deep learning, and data science, including hands-on experience with frameworks such as TensorFlow, PyTorch, and modern LLMs.
- Proficiency in Python and familiarity with production ML pipelines, cloud services (e.g., AWS, GCP), and data engineering best practices.
- Strong understanding of user engagement metrics and experience applying AI/ML to optimize user-facing products.
- Curiosity, adaptability, and a drive for continuous learning and innovation in the rapidly evolving AI landscape
The cash compensation range for this role is $250,000 - $325,000.
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
