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Perplexity Job Jobs (NOW HIRING)

Perplexity

IT Systems Administrator

San Francisco, CA · On-site

$150K - $180K/yr

Perplexity is seeking a highly skilled and experienced IT Systems Administrator to join our dynamic team, revolutionizing the way people search and interact with the internet. As an early hire in ...

Perplexity

Strategic Finance Lead - Core

San Francisco, CA · On-site

$170K - $230K/yr

Perplexity is looking for a dynamic and analytical individual to join our Strategic Finance team to help own our core financial models and analysis, develop planning processes, and be the go-to ...

Perplexity

Product Marketing Manager

New York, NY · On-site

$220K - $290K/yr

Perplexity is revolutionizing how companies get work done. We are seeking a Product Marketing Manager to join our team and serve as the strategic bridge between our product reality and market impact.

E2B

Product Engineer - AI

San Francisco, CA · On-site

$180K - $220K/yr

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role Your job will be to inspire developers ...

E2B

Platform Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role You will be building the next cloud ...

E2B

Security Engineer

San Francisco, CA · On-site

$180K - $210K/yr

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role Your job will be to secure the ...

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How much do perplexity job jobs pay per hour?

As of May 30, 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.

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Perplexity Job jobs near you

Engineering Manager (AI Research & Model Training)

Perplexity

San Francisco, CA • On-site

$300K - $485K/yr

Full-time

Posted 25 days ago

Job description

Perplexity is seeking a Research Engineering Manager to lead the team of all-star AI researchers and engineers responsible for developing the models that drive our products. Our team has developed some of the most advanced models for agentic research, query understanding, and other domains that require accuracy and depth. As we expand our userbase and portfolio of product surfaces, our in-house models are increasingly critical to providing a premium, high-taste experience for the world's most sophisticated users.
You will dive into our rich datasets of conversational and agentic queries, leveraging cutting‑edge training techniques to scale AI model performance. Through hands-on technical and organizational leadership, you will empower your team to develop SotA models for the use cases that matter most to our business and our users.
Responsibilities
  • Lead a team of researchers and engineers focused on training SotA models for Perplexity-relevant use cases, leveraging the latest supervised and reinforcement learning techniques.
  • Drive research and engineering efforts to develop production models through advanced model training and alignment techniques, including RL, SFT, and other approaches.
  • Become deeply familiar with the team's technical stack, leading from the front through hands-on technical contributions.
  • Own the data, training, and eval pipelines required to train and continuously improve LLM models.
  • Design and iterate on model training and finetuning algorithms (e.g., preference‑based methods, reinforcement learning from human or AI feedback) through an approach that balances scientific rigor and iteration velocity.
  • Design evaluations and improve the production model training pipeline to reliably deliver models that lie on the Pareto frontier of speed and quality.
  • Work closely with engineering teams to integrate in-house models into our product and rapidly iterate based on real‑world usage.
  • Manage day‑to‑day execution, project planning, and prioritization for the model training team to hit ambitious quality and performance goals.
Qualifications
  • Proven experience with large-scale LLMs and Deep Learning systems.
  • Strong Python and PyTorch skills; versatility across languages and frameworks is a plus.
  • Experience leading or managing research or engineering teams working on large-scale AI model development, including driving complex projects from idea to production.
  • Self‑starter with a willingness to take ownership of tasks and navigate ambiguity in a fast‑moving environment.
  • Passion for tackling challenging problems in AI model quality, speed, safety, and reliability.
  • 10+ years of technical experience, with at least 2 of those years as a manager and at least 4 of those years working on large-scale AI model development.
Nice-to-have
  • PhD in Machine Learning or related areas.
  • Experience training very large Transformer-based models with techniques such as SFT, DPO, GRPO, RLHF‑style methods, or related preference‑based optimization approaches.
  • Prior experience designing evaluations and production training pipelines for large‑scale models in a high‑growth environment.

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