ZipRecruiter

Log In

1

Perplexity Job Jobs (NOW HIRING)

Perplexity

Commercial Account Executive

New York, NY · On-site

$140K - $220K/yr

Perplexity is seeking a highly motivated and skilled Commercial Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth ...

Perplexity

Account Executive

New York, NY · On-site

$200K - $400K/yr

Perplexity is seeking a highly motivated and skilled Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth and ...

Perplexity

Demand Generation Lead

New York, NY · On-site

$200K - $215K/yr

Perplexity is seeking a highly motivated and skilled Demand Generation Lead to join our GTM team. This is a high-impact, high-autonomy role. You'll own Perplexity's demand generation engine for our ...

next page

Showing results 1-20

All JobsPerplexity Job Jobs

Perplexity Job information

See salary details

$11

$17

$22

How much do perplexity job jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for perplexity job in the United States is $17.43, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.51 per hour, depending on experience, location, and employer.

What is the difference between Perplexity Job vs Chatbot Developer?

AspectPerplexity JobChatbot Developer
Required SkillsNatural language processing, AI understanding, data analysisProgramming, AI frameworks, conversational design
Work EnvironmentAI companies, tech startups, research labsSoftware companies, tech firms, startups
CertificationsAI certifications, data science coursesProgramming certifications, AI courses
Industry UsageAI research, language models, NLP toolsApplication development, chatbot platforms

Perplexity Job focuses on AI language models and natural language processing research, while Chatbot Developer specializes in creating conversational applications. Both roles require AI knowledge, but Perplexity Job leans more toward research and model development, whereas Chatbot Developer emphasizes application building and programming skills.

Is Perplexity a good company to work for?

Perplexity is a technology company focused on AI and natural language processing. Employee reviews indicate a collaborative environment with opportunities for skill development, though experiences may vary. It is advisable to research specific roles and company culture before applying.

What kind of jobs does Perplexity offer?

Perplexity offers roles related to artificial intelligence, data analysis, and research, often involving tasks such as developing language models, improving AI algorithms, and analyzing large datasets. These jobs typically require skills in programming, machine learning, and natural language processing, and may involve remote work or flexible schedules.

What is the salary of Perplexity employees?

The salary for Perplexity employees varies depending on the role, experience, and location. Entry-level positions typically start around industry-standard rates, while more experienced roles can earn higher salaries. Specific figures are not publicly disclosed and may be negotiated individually.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
More about Perplexity Job jobs
What cities are hiring for Perplexity Job jobs? Cities with the most Perplexity Job job openings:
What states have the most Perplexity Job jobs? States with the most job openings for Perplexity Job jobs include:
What job categories do people searching Perplexity Job jobs look for? The top searched job categories for Perplexity Job jobs are:
Perplexity Job jobs near you

Member of Technical Staff (ML Engineer, Recommendations & User Modeling)

Perplexity

San Francisco, CA • On-site

$220K - $405K/yr

Full-time

Posted 13 days ago

Job description

Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.
Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.
To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.
Why Perplexity is Different
  • Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.
  • Ownership. You identify the problem, design the solution and ship it.
  • Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
  • Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
  • Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
  • Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.
  • Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.
  • Design the decision layer that balances competing objectives to produce the best overall experience for the user.
  • Build the data and evaluation foundations that let these systems learn and improve with usage.
  • Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.
What we're looking for
  • Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.
  • Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.
  • Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
  • Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.
  • For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.
Nice to have
  • Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).
  • Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.
Our Mission
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.

Apply