Senior ML Engineer, Advertiser Growth & GenAI

Unity Technologies SF

Olympia (WA)

Vor Ort

USD 166.000 - 273.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Health insurance
Commuter subsidy
Employee stock ownership
Competitive retirement plans
Generous vacation days
Parental leave support
Office snacks
Mental health programs
Employee Resource Groups
Global Employee Assistance Program
Training and development programs

Zusammenfassung

Unity Technologies SF in Olympia, WA seeks a Senior Machine Learning Engineer to advance advertiser growth. You will implement pacing controllers, integrate GenAI-driven assets, and scale experiments to measure ROI and platform health.

This onsite role focuses on billing reliability and marketplace growth with data-driven decision making. The ideal candidate has an advanced degree and 6+ years in software engineering, including ads delivery, with strong Java/Go/Scala and real-time data

Qualifikationen

  • Advanced degree or equivalent experience in CS or engineering.
  • 6+ years of software engineering experience, 3+ years in ads delivery.
  • Experience building/operating large-scale backend systems with low latency.
  • Experience with budget control, spend-prediction, experimentation.
  • Knowledge of GenAI model workflows for creative asset generation.

Aufgaben

  • Design and optimize pacing controllers to smooth advertiser spend.
  • Integrate Generative AI models to automate asset generation.
  • Scale infrastructure for high-velocity experimentation and ROI evaluation.
  • Maintain billing pipelines with real-time reconciliation and precision.
  • Analyze datasets to tune pacing and billing logic.

Kenntnisse

English proficiency
Leadership
Mentoring

Ausbildung

Advanced degree in computer science or relevant engineering field

Tools

Java
Go
Scala
Kafka
Flink
Spark

Jobbeschreibung

Unity Technologies SF in Olympia, WA seeks a Senior Machine Learning Engineer to advance advertiser growth. You will implement pacing controllers, integrate GenAI-driven assets, and scale experiments to measure ROI and platform health.

This onsite role focuses on billing reliability and marketplace growth with data-driven decision making. The ideal candidate has an advanced degree and 6+ years in software engineering, including ads delivery, with strong Java/Go/Scala and real-time data

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