AI Research/Machine Learning Engineer, Perplexity AI
Agent Products
$200-280k
4 days a week in office
Conversational AI-powered search tool
Job no longer available
Conversational AI-powered search tool
21-100 employees
Job no longer available
$200-280k
4 days a week in office
21-100 employees
Company mission
To advance the way people discover and share information.
Role
Who you are
- Proven research experience with large-scale LLMs and Deep Learning systems
- Strong Post-Training skills, with a familiarity with both supervised and reinforcement learning techniques, including reward formulation, a good sense for evaluation, etc
- A strong consumer product intuition especially for Agent products, with a willingness to unblock one-self at any level of the stack, and take ownership of the end-product experience
- Understands how to make tradeoffs in developing an end-to-end agent, including training technique, model architecture, prompting, etc
- Minimum of 5 years of working on relevant deep learning research areas
What the job involves
- Perplexity is seeking experienced AI Research/Machine Learning Engineers and Scientists to own our Agent Products (Answering Agent, Deep Research, the Comet Browser Agent). Applicants should be well versed in all aspects of LLM prompting and training, code execution and tool-calling in order to keep redefining what is possible with advanced retrieval
- Design a production and training system that allows for an autonomous LLM-powered agent performs various tools across web, browsing, retrieval, code execution in order to answer a user’s open-ended prompt / query and returns a high quality answer with citations
- Partner with the Core Research & Post-Training Team to refine the expansion, reformulation, querying, and summarization of our models against Perplexity’s retrieval index
- Devise a well-distributed set of multi-turn Evals that help hill-climb and capture regressions for our browser and deep research agents
- Improving the speed and quality of our codebase and engineering processes to ensure we consistently deliver an amazing product experience
- Collaborating with Perplexity GTM leaders as well as a wide breadth of stakeholders (e.g. Motorola, TripAdvisor, etc.) to develop integrated product solutions that span across a wide breadth of research verticals like Travel, Retail, etc
Our take
As artificial intelligence continues to drive changes in both business operations and day-to-day lives, Perplexity AI delivers an intelligent search engine powered by conversational AI, to improve search outcomes and "unlock the power of knowledge" for all.
Reaching impressive heights of 10 million monthly visits, Perplexity's "ask anything" method of search is clearly a popular one. What sets it apart from other search engines is in its answers, which are concise and fully cited, responding to the user query rather than simply providing a place in which they can scroll to find it themselves.
The company has raised substantial funding, with contributions from former execs at companies like OpenAI, Meta, and Quora, demonstrating the interest that it has drummed up in the space. Having doubled its annual recurring revenue between 2023 and 24, this investment will allow Perplexity AI to continue building out its product, and accelerate growth into the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Sep 2025
$200m
LATE VC
Jul 2025
$100m
LATE VC
Total funding: $1.7bn
Company benefits
- Equity
- Comprehensive health, dental, and vision insurance for you and your dependents
- 401(k)
- Generous home-office stipend
Company HQ
Financial District, San Francisco, CA
Leadership
Aravind Srinivas
(Co-Founder & CEO)Former Research Scientist at OpenAI, who has interned in Research at Google and Deep Mind. Obtained a PhD in Computer Science from the University of California, Berkeley.
Denis Yarats
(Co-Founder & CTO)PhD Student in AI at NYU. Former AI Research Scientist at Facebook AI Research, and Staff ML Engineer at Quora.
Johnny Ho
(Co-Founder & CSO)Previously a Quantitative Trader at Tower Research Capital, and Engineer at Quora.
Andy Konwinski
(Co-Founder)Co-Founder and Advisor at Databricks. Co-Founder and General Partner at CS Graduate Ventures, and Instructor at the University of California, Berkeley.
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