Tech Lead, Perplexity AI
AI Engagement
$250-325k
More information about location
3 days a week in office (Palo Alto, CA)
Conversational AI-powered search tool
Be an early applicant
Conversational AI-powered search tool
21-100 employees
Be an early applicant
$250-325k
More information about location
3 days a week in office (Palo Alto, CA)
21-100 employees
Company mission
To advance the way people discover and share information.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
As artificial intelligence continues to drive changes in both business operations and day-to-day lives, Perplexity AI delivers an intelligent search engine powered by conversational AI, to improve search outcomes and "unlock the power of knowledge" for all.
Reaching impressive heights of 10 million monthly visits, Perplexity's "ask anything" method of search is clearly a popular one. What sets it apart from other search engines is in its answers, which are concise and fully cited, responding to the user query rather than simply providing a place in which they can scroll to find it themselves.
The company has raised substantial funding, with contributions from former execs at companies like OpenAI, Meta, and Quora, demonstrating the interest that it has drummed up in the space. Having doubled its annual recurring revenue between 2023 and 24, this investment will allow Perplexity AI to continue building out its product, and accelerate growth into the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Dec 2024
$500m
LATE VC
May 2024
$250m
LATE VC
Total funding: $915m
Company benefits
- Equity
- Comprehensive health, dental, and vision insurance for you and your dependents
- 401(k)
- Generous home-office stipend
Company HQ
Financial District, San Francisco, CA
Leadership
Aravind Srinivas
(Co-Founder & CEO)Former Research Scientist at OpenAI, who has interned in Research at Google and Deep Mind. Obtained a PhD in Computer Science from the University of California, Berkeley.
Denis Yarats
(Co-Founder & CTO)PhD Student in AI at NYU. Former AI Research Scientist at Facebook AI Research, and Staff ML Engineer at Quora.
Johnny Ho
(Co-Founder & CSO)Previously a Quantitative Trader at Tower Research Capital, and Engineer at Quora.
Andy Konwinski
(Co-Founder)Co-Founder and Advisor at Databricks. Co-Founder and General Partner at CS Graduate Ventures, and Instructor at the University of California, Berkeley.
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