Perplexity is seeking experienced Machine Learning Engineers to make Perplexity’s answer machine as engaging as possible. Users already love going down rabbit holes with Related Questions, and your job is to continue to innovate on ways to create an infinite scroll of knowledge that keeps users coming back for more.
Responsibilities
- Continue to build upon our industry leading engagement system (Related Questions) to continually surface new topics for users to explore.
- Work cross functionally across engineering, growth, and product teams to prioritize the right experiments to run.
- Deliver end-to-end machine learning solution to address critical product challenges.
- Own the full stack machine learning system and optimize algorithms and infrastructure to improve engagement performance.
Qualifications
- 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.
Nice-to-have
- PhD in Machine Learning or related areas.
- Experience building distributed systems.
The cash compensation range for this role is $200,000 - $280,000.
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.
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