Primary record

Staff Applied AI Scientist

Culture Amp Indexed employerSydney · Level 10, 31 Queen St, Melbourne
Source-hosted applyChecked 4h agoOther
Apply at Culture Amp

Culture Amp receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

On-site

Employment

Other

Published

Aug 11, 2026

Closes

No date supplied

The role

We’re big believers in the power of IRL, so for most roles we ask Campers to work from their local Culture Amp office an average of 2 days a week to unlock connection, pace and culture together.

Join us on our mission to make a better world of work.

Culture Amp is the world’s leading employee experience platform, revolutionizing how 25 million employees across more than 6,000 companies create a better world of work. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture Amp every day.

Culture Amp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. Culture Amp has been recognized as one of the world’s top private cloud companies by Forbes and most innovative companies by Fast Company.

For more information visit cultureamp.com .

How you can help make a better world of work

Shipping an AI product is only the beginning. The harder challenge, one few teams have mastered is continuous production evaluation: diagnosing performance shifts in real-time, decoding 'why' they occur, and driving measurable quality improvements at scale. We are looking for a Staff level Applied AI Scientist with a strong AI Engineering background to solve this problem for our Coach AI system, establishing the observability and evaluation frameworks that turn early production releases into robust, high-performance production products and then to make this sustainable by enabling the rest of our

Requirements

Department: Data Science