Job Description

Senior / Principal Machine Learning Engineer, Performance DSP

Location: Redwood City, California, United States (Hybrid)

At PubMatic, we’re transforming the mobile advertising landscape with cutting-edge solutions that help buyers and developers succeed. Our team is passionate about building high-performance, innovative products that make a real impact. If you’re excited about solving complex challenges, shaping the future of ad tech, and working with brilliant minds, we’d love to have you on board!

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.

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.

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

Compensation and Benefits:

Base Salary Range: $150,000 - $170,000

In accordance with applicable law, the above salary range provided is PubMatic’s reasonable estimate of the base salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units and a competitive benefits package.

Additional Information

Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.

Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile, and fully stocked pantries plus in-office catered lunches 5 days per week.

Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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