# Applied Scientist – User Intelligence at InMobi

- Company: InMobi
- What the company does: AI and Consumer-first technology to provide amazing experiences and the joy of discovery on your smart phone. Backed by SoftBank VF.
- Company website: https://www.inmobi.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Mateo, CA
- Work setup: On-site
- Pay: $182K to $219K base salary per year (USD)
- Posted: 2026-09-14
- Apply by: 2026-10-29
- Apply: https://job-boards.greenhouse.io/inmobi/jobs/8113312
- Page: https://www.1752.vc/careers/jobs/inmobi-applied-scientist-user-intelligence/

## About the role

We are looking for an Applied Scientist to develop and improve our user personalization intelligence through architectural and data research aimed at optimizing the efficacy of our targeting and pricing systems. More specifically, our team is exploring state-of-the-art attention-based architectures powered by multi-modal data, operating at InMobi's scale of trillions of events per day.

## What they're looking for

- PhD in machine learning, data science, or a related field preferred, Master's degree also considered, particularly with a strong industry track record
- Demonstrated expertise in machine learning/deep learning, whether through peer-reviewed publications (e.g., NeurIPS, KDD, RecSys) or through industry experience building and shipping models that performed well at scale
- Fluency in the PyTorch or JAX ecosystem, with the ability to implement complex operations in vectorized form
- Expertise in deep recommender systems, including two-tower and attention-based architectures
- Comfort with large-scale distributed data systems and the ability to build production data pipelines for training and inference
- Understanding of the ads ecosystem (OpenRTB, SSPs, DSPs, ad exchanges, MMPs) is a plus

Tags: Mohit Saxena(Engineering and Data...