Ads Optimization Scientist

New

Skills

Auction mechanics Budget pacing strategies Control theory Convex optimization Go programming Java programming Mathematical modeling Production code deployment Python programming Real-time bidding systems

We are seeking a Senior Applied Scientist II to design and implement advanced real-time bid optimization systems that effectively translate business goals into actionable bids. This role involves developing comprehensive budget pacing strategies and integrating various auction mechanics to enhance overall bidding performance.

Key Responsibilities
  • Design real-time bid optimization systems that translate strategic goals into bids.
  • Develop budget pacing strategies to distribute spending effectively over time and auctions.
  • Create frameworks that link bidding, pacing, and budgeting into a unified objective.
  • Shape auction mechanics, including reserve pricing and multi-slot allocation.
  • Own the research-to-production loop: diagnose, experiment, and deploy code.
  • Translate mathematical formulations into production code that operates at scale.
Requirements & Qualifications
  • MS or PhD in operations research, applied mathematics, control systems, computational economics, or a related field.
  • 8+ years of experience building optimization or control systems in production environments.
  • Strong foundation in control theory, convex optimization, or auction design.
  • Proficiency in Go, Java, C++, and Python for production and data analysis.
  • Ability to translate complex mathematical concepts into scalable production code with sub-100ms latency.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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