Senior/Principal Machine Learning Engineer, Performance DSP

at  PubMatic

JOB DESCRIPTION:

We are looking for a Lead Machine Learning Engineer with deep expertise in Performance advertising and a proven track record of architecting high-performance solutions that drive campaign success. Leveraging your strategic understanding of Performance DSP workflows, you will design cutting-edge algorithms and systems to optimize real-time bidding strategies, exceed advertiser KPIs, and maximize ROI ultimately increasing performance-driven spend on the PubMatic platform.

QUALIFICATIONS:

5+ years of engineering experience at a Performance DSP, coupled with a deep understanding of programmatic advertising workflows, RTB, audience targeting, and bid strategies.
Deep understanding of mobile advertising ecosystems, advertising SDKs, and optimization strategies.
Strong expertise in Machine Learning, Ad-Server/Bidder architecture and Gen-AI.
BS or MS degree in Computer Science or Mathematics

RESPONSIBILITIES:

Architect and develop advanced features to shape Performance DSPs, optimizing ad formats such as interstitial video, rewarded video, and display ads.
Design PubMatic’s product offering to boost auction efficiency and align with Performance DSP workflows and expectations ensuring seamless integration, higher ROI for advertisers, and increase the DSP spend on the platform.
Leverage machine learning and data-driven insights to enhance bid efficiency, campaign performance, and ad delivery strategies.
Collaborate with cross-functional teams including Product, Engineering, and the CTO team to align technical solutions with Performance DSP goals.
Optimize attribution tracking, user value modelling, and ML-driven performance enhancements to maximize campaign impact.

RESPONSIBILITIES: REQUIREMENTS:

Nearest Major Market: San Francisco
Nearest Secondary Market: Oaklan