Rocket
Mini tools
Machine Learning Engineer
Perplexity
On-site
San Francisco, CA, United States
Full-time
$200,000 -
$280,000
About the Role
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.
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.
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.
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.
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.
