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At Perplexity Jobs (NOW HIRING)

Perplexity

Technical Sourcer, AI

San Francisco, CA · On-site

$150K - $185K/yr

At Perplexity, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of ...

Perplexity

Revenue Operations Analyst

New York, NY · On-site

$160K - $200K/yr

At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform ...

Perplexity

Commercial Account Executive

New York, NY · On-site

$140K - $220K/yr

This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to help shape Perplexity's commercial motion from the ground up.

Perplexity

Account Executive, API

New York, NY · On-site

$200K - $400K/yr

Perplexity is seeking a self-starting, technically fluent Account Executive to join our small but ... This role is ideal for proactive sales professionals who thrive at the intersection of technology ...

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At Perplexity information

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How much do at perplexity jobs pay per year?

As of Aug 17, 2026, the average yearly pay for at perplexity in the United States is $83,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What are at perplexity jobs?

'At Perplexity' jobs refer to positions available at Perplexity AI, an artificial intelligence company focused on developing advanced search and information retrieval tools. Employees at Perplexity work on cutting-edge AI technologies, including natural language processing, machine learning, and user experience design. Roles may include engineering, research, product management, and customer support. Working at Perplexity often involves collaborating with a talented team to build innovative products that help users find information more efficiently. The company is known for fostering a culture of curiosity, innovation, and continuous learning.

How does working at Perplexity foster collaboration between engineering and product teams?

At Perplexity, collaboration between engineering and product teams is central to the company's workflow. Cross-functional teams participate in regular stand-ups, sprint planning, and design reviews to ensure alignment on project goals and priorities. This structure encourages transparent communication and rapid iteration, allowing team members to share insights and address challenges proactively. As a result, employees gain exposure to diverse perspectives and enjoy opportunities to contribute to both technical and strategic decision-making.

What are the key skills and qualifications needed to thrive as an employee at Perplexity, and why are they important?

To thrive at Perplexity, you need a strong background in fields such as artificial intelligence, machine learning, or software engineering, often backed by relevant degrees or industry experience. Expertise with programming languages like Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and cloud platforms is typically required. Strong problem-solving abilities, collaboration, and a passion for innovation are essential soft skills for contributing to a fast-moving tech environment. These skills and qualities are crucial for driving product development and maintaining Perplexity’s competitive edge in AI-driven solutions.

What is the difference between At Perplexity vs Data Analyst?

AspectAt PerplexityData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Data Science, Statistics, or related field
Work EnvironmentTech company, collaborative teams, fast-pacedCorporate or agency settings, analytical teams, office or remote
Employer & Industry UsageTech startups, AI companies, data-driven firmsBusiness, finance, healthcare, marketing sectors
Common Search & ComparisonAt Perplexity vs Data AnalystAt Perplexity vs Data Analyst

Both roles require similar educational backgrounds and work in data-driven environments. However, At Perplexity may focus more on AI and machine learning applications, while Data Analysts typically handle broader data interpretation and reporting across various industries.

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At Perplexity jobs near you
Infographic showing various At Perplexity job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.

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

Perplexity AI

San Francisco, CA • On-site

Other

Posted 4 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.

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