
AI Machine Learning Engineer - Personalization - SF - Perplexity AI
View Company Profile- Job Title
- AI Machine Learning Engineer - Personalization - SF
- Job Location
- San Francisco Bay Area
- Job Description
Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring.
Responsibilities
- Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journey
- Build effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendation
- Work across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\
- Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users
Qualifications
- Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack
- Experience in training DNN and Transformer architecture models
- Experience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideas
- Understands how to make tradeoffs in using different models
- Self-motivated with a willingness to take ownership of tasks
- A passion for shipping quality products
- 4+ years of industry experience
The cash compensation range for this role is $200,000 - $280,000.
At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine just over a year ago. Our AI-powered search assistant has amassed 10 million monthly active users as of early 2024, with our mobile apps installed over 1 million times across iOS and Android devices. In 2023 alone, we served over 500 million queries from users around the globe.
To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity at over $1 billion.
Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity is part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
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Perplexity AI Company Size
Between 50 - 200 employees
Perplexity AI Founded Year
2022
Perplexity AI Total Amount Raised
$165,000,000
Perplexity AI Funding Rounds
View funding detailsSeries Unknown
$62,700,000 USD
Series B
$73,600,000 USD
Series A
$25,600,000 USD
Seed
$3,100,000 USD