Machine Learning Engineer, Experimentation
Meta AI · London, UK
CHECKED 12H AGO
Big Tech AIonsite
At a glance
Highlights
- Drive adaptive experimentation for ads reaching 3B+ users and advertisers
- Advance launch decisions and reduce uncertainty in model-based experimentation
- Solve open problems like selection bias from user opt-outs at huge scale
Ideal candidate
Mathematically skilled ML engineer and leader passionate about experimentation at scale, eager to solve open measurement challenges and drive high-impact ads quality and value decisions.
Requirements
- Mathematical and statistical background, including probability and statistical theory
- Experience with Python programming
- Experience with data analysis across large datasets
- Experience with software engineering combined with statistical and mathematical expertise
- Experience navigating large enterprise architectures, identifying issues and implementing nuanced changes
Lab profile
About Meta AI
Meta's AI lab advancing foundation models, generative and multimodal AI for consumer and enterprise products.
What they build
- Foundation models and AI tools
- Business AI agents
- AI-powered consumer experiences
Known for
- Large language models
- Generative models
- Computer vision
- Multimodal AI