Machine Learning Engineer - Core Ads Ecommerce
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-04
Listing for:
Meta Platforms, Inc.
Full Time
position Listed on 2026-06-04
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer, Software Engineer, Data Engineer
Job Description & How to Apply Below
Machine Learning Engineer - Core Ads Ecommerce Responsibilities
- Partner with product teams and other engineers to solve Shops Ads business problems through ML
- Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
- Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
- Leading a team from a technical perspective to develop ML best practices and influence engineering culture
- Be a go-to person to elevate the most complex online / production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
- Suggest, collect and synthesize requirements and create effective feature roadmap
- Code deliverables that will tie the ML solutions you develop to our ad delivery stack
- Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
- Experience with developing machine learning models at scale from inception to business impact
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Masters degree or PhD in Computer Science or a related technical field
- Exposure to architectural patterns of large scale software applications
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