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Perplexity Jobs (NOW HIRING)

Partner Marketing Manager

New York, NY ยท On-site

$165K - $180K/yr

Perplexity is revolutionizing how the world gets work done, and we do it alongside some of the most important companies in the world. We are seeking a Partner Marketing Manager to formally build that ...

Commercial Account Executive

New York, NY ยท 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 ...

Enterprise Account Executive

New York, NY ยท 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 ...

AI Strategist, Legal

New York, NY ยท On-site

$215K - $250K/yr

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 ...

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Perplexity information

Does Perplexity pay well?

Perplexity as a job role is not widely recognized, so salary information is limited. Generally, salaries depend on the specific industry, experience, and location, with roles involving data analysis or AI typically offering competitive pay. It is advisable to research the particular position and company for accurate compensation details.

What are Perplexity jobs?

Perplexity jobs typically refer to roles at Perplexity AI, a company specializing in artificial intelligence-powered search engines and conversational AI tools. Employees may work in a variety of positions such as software engineering, research, product management, and data science. Perplexity AI is known for its focus on creating advanced, user-friendly AI systems that help people access and understand information more easily. Working at Perplexity often involves collaborating on innovative projects, leveraging the latest AI technologies, and contributing to the development of cutting-edge products in the AI space.

Which AI job is high paying?

High-paying AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer salaries above industry averages due to their specialized skills and demand in sectors like technology, finance, and healthcare.

What is the salary of Perplexity employees?

Perplexity employees' salaries vary depending on the role, experience, and location. Entry-level positions typically start around industry-standard rates, while more experienced roles can earn higher compensation. Specific salary details are often available through job postings or company reports.

What are the key skills and qualifications needed to thrive as a Perplexity AI Engineer, and why are they important?

To thrive as a Perplexity AI Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree and hands-on project experience. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems like Git is essential. Strong problem-solving abilities, collaboration, and effective communication help you excel in multidisciplinary teams and adapt to evolving technologies. These skills are crucial for developing advanced AI solutions and ensuring they perform reliably and ethically in real-world applications.

Can I earn money from Perplexity?

Perplexity is a language model and does not offer job opportunities or direct income. If you are referring to a role related to Perplexity, such as a developer or researcher, earning potential depends on the employment arrangement, skills, and experience. Typically, jobs in AI and machine learning require technical expertise and may involve salaries or project-based payments.

What are the common challenges faced by a Data Scientist when working on machine learning projects within a cross-functional team?

Data Scientists often encounter challenges such as aligning project goals across departments, ensuring data quality, and effectively communicating complex technical concepts to non-technical stakeholders. Collaborating with product managers, engineers, and business analysts requires strong interpersonal skills and adaptability. Additionally, balancing experimentation with project deadlines and integrating models into production systems are key hurdles. Navigating these challenges successfully can lead to impactful solutions and professional growth.
More about Perplexity jobs
What cities are hiring for Perplexity jobs? Cities with the most Perplexity job openings:
What states have the most Perplexity jobs? States with the most job openings for Perplexity jobs include:
What job categories do people searching Perplexity jobs look for? The top searched job categories for Perplexity jobs are:
Infographic showing various Perplexity job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.
Member of Technical Staff (ML Engineer, Recommendations & User Modeling)

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

Perplexity

San Francisco, CA โ€ข On-site

$220K - $405K/yr

Full-time

Posted 21 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.