Full-Time
Perplexity AI
501-1,000 employees
Advanced answer engine providing reliable information
Compensation Overview
$190k - $250k/yr
Mid, Senior
San Francisco, CA, USA
- Experience with ML systems and some deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)
- High level familiarity with LLM architecture, and the key pieces (Multi-Head, Multi/Grouped-Query, as well as common Layers)
- Experience with deploying reliable, distributed, real-time systems at scale
- Develop APIs for AI inference that will be used by both internal and external customers
- Help set up our infrastructure and deploy efficiently and reliably.
- Benchmark and reduce bottlenecks throughout our inference stack
- Improve the reliability and observability of our systems and respond to system outages
Perplexity AI provides an answer engine that delivers accurate and reliable responses to user queries. The platform uses current sources to ensure the information is both relevant and trustworthy. It caters to a wide audience, including individuals looking for quick answers and businesses needing detailed information. Unlike many competitors, Perplexity AI emphasizes high-quality, source-backed answers, making it a valuable resource for users seeking dependable data. The company's goal is to meet the increasing demand for immediate access to reliable information, generating revenue through subscription fees, advertising, and partnerships.
Company Size
501-1,000
Company Stage
Late Stage VC
Total Funding
$915M
Headquarters
San Francisco, California
Founded
2022
Simplify's Take
What believers are saying
- Partnerships with Samsung and Motorola expand Perplexity's market reach and user engagement.
- Rapid gains in AI app sales and funding indicate strong market demand for Perplexity.
- Potential TikTok acquisition could position Perplexity as a major social media player.
What critics are saying
- Privacy concerns may arise from partnerships with Samsung and Motorola over data tracking.
- Increased competition from AI startups could challenge Perplexity's market position.
- Google's enhanced AI features in search tools may impact Perplexity's user base.
What makes Perplexity AI unique
- Perplexity integrates AI with search engines for precise, reliable user query responses.
- The platform offers an open-source environment, supporting artificial general intelligence development.
- Perplexity's partnerships with Samsung and Motorola enhance its AI integration in smartphones.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Company Equity
Growth & Insights and Company News
6 month growth
↓ -19%1 year growth
↓ -25%2 year growth
↓ -22%AI startup Perplexity is reportedly working to integrate its technology with Samsung and Motorola smartphones. The company is in talks with Samsung about adding its artificial intelligence (AI) assistants to that firm’s devices, and has reached an agreement for a similar collaboration with Motorola, Bloomberg News reported Wednesday (April 16), citing sources familiar with the matter. These sources say the talks with Samsung are in the early stages, while the collaboration with Motorola will be announced this month. Motorola is holding a product event next week in New York City where it intends to discuss the partnership, the report added
Perplexity partners with Vespa.ai to bring its search function in-house.
Startups that build artificial intelligence (AI) applications on top of large language models (LLMs) are reportedly making rapid gains in both sales and funding. These startups are reaching as much as $200 million in annual recurring revenue in less than two years and, as a group, increased the amount of funding they attracted by 110% to reach $8.2 billion in 2024, the Financial Times (FT) reported Monday (April 14), citing data from Dealroom.co and Flashpoint. This category of AI startups includes companies like Perplexity, Synthesia, ElevenLabs, Harvey and Sierra, according to the report
The new OLMoTrace tool builds on the Allen Institute for AI’s open-source initiatives. (Ai2 Image)The Allen Institute for AI (Ai2) released a new tool that links AI-generated text to training data, aiming to improve transparency and accountability in artificial intelligence by addressing one of the biggest mysteries in the field.Ai2 says the project, OLMoTrace, goes further than any other tool to show how the data used to train large language models may influence what they generate.It converts “a black box to a glass box,” said Ali Farhadi, CEO of the Seattle-based nonprofit, during a briefing with reporters at Ai2’s headquarters.OLMoTrace highlights phrases from the AI’s responses that appear verbatim in training data, and links users to the sources. The idea is to support fact-checking and improve understanding of how AI is influenced by training data.The tool, announced Wednesday in conjunction with the Google Cloud Next conference, builds on Ai2’s open approach to AI development, which includes releasing training data, code, model weights, and other components of AI models. Ai2 is making OLMoTrace open-source so others can use, adapt, and build on it.The question of exactly how AI models generate their responses has loomed over AI since the original release of OpenAI’s ChatGPT in November 2022.So what has Ai2 learned from peering into the black box?. VIDEO. While they’ve yet to reach sweeping conclusions, researchers so far have seen examples of AI models repeating patterns the models have seen in training, rather than coming up with answers through reasoning
When generative AI took off in 2022 following the popularity of ChatGPT, launching a startup on a .ai domain felt like the obvious move. It signaled your company was part of the next wave of innovation.¬†It instantly signaled to investors, journalists, and users that you were building in AI.Now, a shift is happening. Some of the most promising startups in AI are quietly moving away from their .ai domains and switching to .com. It‚Äôs not about trend-chasing‚Äîit‚Äôs about positioning.This isn’t a flood, but it‚Äôs enough to raise eyebrows. And it says something about how branding, trust, and long-term ambition play a bigger role in how startups choose to present themselves.Why Startups Went With .AI DomainsIn the early days, .ai domains were easy to get and made a lot of sense. Short .coms are hard to come by and often expensive