
Machine Learning Engineer for Advertising Innovation
1 dia atrás
Job Description\
We are seeking a skilled Ad Performance Optimization Engineer to join our team. As an expert in machine learning, you will be responsible for building scalable and production-ready ML systems that optimize revenue while enhancing user experience.
\You will collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale.
\Required Skills and Qualifications\
- \
- 5+ years of software development and ML engineering, including 3+ years focused on advertising systems\
- Proven experience optimizing ad performance using both mature models and emerging ML technologies\
- Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV\
- Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch)\
- Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP)\
- Strong analytical problem-solving skills with a proven track record of delivering measurable results\
- Excellent communication, teamwork, and project management skills\
Benefits\
- \
- Develop and scale advertising algorithms that optimize engagement and revenue simultaneously\
- Apply cutting-edge ML approaches (e.g., reinforcement learning, deep learning for ranking) to improve ad performance\
- Build scalable infrastructure to support real-time ad decisioning across millions of requests per day\
- Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs\
- Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery\
- Collaborate with global teams across product, data, and engineering to launch high-impact ad features\
- Stay ahead of emerging technologies and integrate them into our ML stack when they create competitive advantage\
Others\
This role is ideal for those who want to accelerate their career by owning outcomes, moving fast, and driving impact with a global team of high-performers. We value diversity, equity, and inclusion, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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