Machine Learning Engineer 5 - Ads Signals & Targeting
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Role details
Tech stack
Job description
This role will focus on building and deploying machine learning solutions that improve real-time advertising performance and audience targeting. You will partner closely with cross-functional teams to enhance ad relevance, optimize signal usage, and support a high-quality viewer experience. The position also calls for a strong technical foundation in large-scale data systems and production model deployment., * Build and deploy machine learning models for real-time advertising systems
- Create targeting features to enhance audience engagement based on contextual data
- Collaborate with cross-functional teams to ensure effective model production
- Optimize ad serving systems to improve brand safety and viewer experience
- Drive continuous improvement of machine learning processes for better ad relevance
Requirements
- 5-7 years of experience in machine learning model deployment for real-time ad systems
- Expertise in developing machine learning models for ad targeting and audience expansion
- Proven history in designing user and contextual signals for ad platforms
- Strong programming skills in Java, C++, Python, or Scala, particularly in multi-threading and memory management
- Experience working with big data tools like Spark for massive datasets
Benefits & conditions
- Comprehensive health plans including mental health support
- 401(k) retirement plan with employer matching
- Stock option program and flexible spending accounts
- Generous paid time off policies, with 35 days for full-time hourly staff
- Flexible time off for full-time salaried employees
Our client is an equal opportunity employer. We encourage you to apply even if you donβt meet every qualification-your background could be exactly what this team needs.
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