Foundational Research Scientist

AppLovin

Quick summary

Work type: On-site
Location: Palo Alto, California
Salary: $252,000–$400,000 / yr
Posted: 62 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k

This role $326k

$135k most similar roles pay here $428k

This role pays more than 98% of similar roles. Most pay $165,000–$234,150 — the shaded band above. At the midpoint, this role pays about $326k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About AppLovin

AppLovin enables businesses to advertise profitably with marketing technologies that attract customers, increase revenue, and track ad performance.

AppLovin currently has 16 open roles on FindRole.

Listed pay typically runs $125,000–$206,500 across 12 roles with salary data.

Most-posted roles

View all roles at AppLovin

At a glance

TL;DR · Foundational Research Scientist

Apply Now Log in to save

Join AppLovin's world-class academic-industrial hybrid research group as a Foundational Research Scientist, where you will drive the creation of new recommendation models and paradigms using rich live user data and large-scale compute. You'll collaborate closely with engineering and product teams to operationalize your research findings, publish them in top venues, and contribute to the broader machine learning community. Ideal candidates have a PhD or equivalent experience in CS, ML, Statistics, and demonstrate strong proficiency in Python and modern ML frameworks like PyTorch, alongside extensive knowledge of deep learning and large-scale data experimentation. This role offers unparalleled access to real-time user interaction data and massive compute infrastructure, enabling rapid model validation and direct impact on user experiences and business outcomes.

Skills

Python PyTorch Deep Learning Large-Scale Data GPU Clusters Feature Stores A/B Testing Online Experimentation Causal Inference Sequential Modeling Representation Learning CI/CD

What you'll do

Drive foundational research to create new recommendation models and paradigms.
Leverage rich live user data and large-scale compute for rapid model validation.
Publish findings and contribute to the broader ML and RecSys community.
Collaborate with engineering teams to operationalize research in real products.
Access world-class infrastructure for massive compute and deployment pipelines.

What we're looking for

PhD in CS, ML, Statistics, or related field.
Strong background in deep learning and proven research excellence.
Proficiency in Python and modern ML frameworks like PyTorch.
Experience with large-scale data and experimentation.
Publications in top venues such as NeurIPS, ICML, ICLR.

Save