Staff Software Engineer, Ads Modeling, Personalization, and Quality

Job summary

MINIMUM QUALIFICATIONS: - Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Benefits

Qualifications

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with ML/AI algorithms and
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex organization involving cross-functional, or cross-business projects.
• Experience with advertising products, quality work in ads, or with statistical modeling and experimentation/analysis.
• Experience in quality or modeling engineering teams.
• ABOUT THE JOB
• Goo***'s software engineers develop the next-generation

Responsibilities

• Design new deep learning based ML models to predict users’ interaction with different ad formats across Goo***’s various ad delivery channels.
• Incorporate and engineer input features from ad creatives, publisher pages/content, as well as users’ personalized ad history to improve models’ accuracy.
• Improve the efficiency and reliability of ML models by designing novel model architectures and adopting development and release processes.
• Debug and troubleshoot advertiser performance problems.
• Work with Product Management, UX, and partner teams to design and deliver new ad experiences.
• Leverage data and metrics to help evaluate product success and drive business decisions.
• Goo*** is proud to be an equal opportunity workplace and is an affirmative action employer.
• We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
• We also consider qualified applicants regardless of criminal histories, consistent with legal

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