Quantcast

Machine Learning Engineer

San Francisco, CA

Sponsorship not specified$151k-$178kDetected 26 days ago

PythonJavaDistributed SystemsData StructuresAlgorithmsCode ReviewMachine LearningNLPLLMsSignal ProcessingControlsResearch

About the role

Ready to join the team that's defining the future of digital advertising?
The Modeling team is responsible for Machine Learning (ML) systems at Quantcast.
For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics.

Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently.
Collaborate closely with engineering teams, to deliver high-quality ML products. Participate in code reviews and provide constructive feedback to team members.
Identify performance bottlenecks and optimize system components for enhanced scalability.
At Quantcast, we don't just build advertising technology, we revolutionize how it works.
Our AI doesn't just optimize-it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace.
We build and maintain multiple ML products that price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes.
Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content.
You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces.

New Grad to 1 year of experience.
You must be work-authorized in the United States without the need for employer sponsorship.
Working knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems.

On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package.

As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams.
Run Machine Learning experiments to test new modeling ideas.
Keep up to date with developments in machine learning outside the company.

Part of the interview process will be conducted in person at our San Francisco office.

You must be work-authorized in the United States without the need for employer sponsorship.

This listing is sourced directly from Quantcast's careers page and normalized into a canonical job model.