AI Research Engineer, Perplexity AI
Post Training
$190-260k
+ Equity
In office M-W-F
3 days a week in office
Conversational AI-powered search tool
Be an early applicant
Conversational AI-powered search tool
21-100 employees
Be an early applicant
$190-260k
+ Equity
In office M-W-F
3 days a week in office
21-100 employees
Company mission
To advance the way people discover and share information.
Role
Who you are
- Proven experience with large-scale LLMs and Deep Learning systems
- Strong programming skills; versatility is a plus
- Self-starter with a willingness to take ownership of tasks
- Passion for tackling challenging problems
- Minimum of 2 years of working on relevant projects
Desirable
- PhD in Machine Learning or related areas
- Experience in post-training LLMs with SFT/DPO/GRPO
What the job involves
- Perplexity is seeking top level AI Research Engineers to continue to improve our in house Online LLMs, the Sonar models
- Your job is to take advantage of our rich query/answer dataset to continue to scale our Sonar model performance and provide the SOTA Online LLM experience to our users
- Post-train SOTA LLMs on query answering by using the latest in supervised and reinforcement learning techniques
- Own the full stack data, training, and eval pipelines required to post-train LLM models
- Deliver Sonar models that provide SOTA query answering
- Work closing with engineering teams to integrate Sonar models into our product
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Insights
Company
Company benefits
- Equity
- Comprehensive health, dental, and vision insurance for you and your dependents
- 401(k)
- Generous home-office stipend
Funding (last 2 of 6 rounds)
Dec 2024
$500m
LATE VC
May 2024
$250m
LATE VC
Total funding: $915m
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