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At Perplexity Jobs in California (NOW HIRING)

Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills ...

Sr. Technical Sourcer

San Francisco, CA · On-site

$150K - $185K/yr

At Perplexity AI, 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 ...

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At Perplexity information

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.

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 '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.

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 job categories do people searching At Perplexity jobs in California look for? The top searched job categories for At Perplexity jobs in California are:
What cities in California are hiring for At Perplexity jobs? Cities in California with the most At Perplexity job openings:
Infographic showing various At Perplexity job openings in California as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% 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 • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on their platform. The role involves owning personalization and ranking, building user modeling, and shaping the technical direction for recommendations and personalization.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
Perplexity is an AI-powered platform that retrieves, analyzes information from the web to deliver structured answers with cited sources. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.