P

Senior/ Principal Machine Learning Engineer

salary Salary :

$250,000 - 325,000 yearly

icon building Company : Pubmatic
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Senior/ Principal Machine Learning Engineer

PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.


Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.


About the Role:


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.


What You'll Do:



  • Architect and develop advanced features to shape our performance platform, 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.


We'd Love for You to Have:



  • 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 and Bonus Salary Range: $250,000 to $325,000


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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