Machine Learning Engineer for Ads Optimization
16 hours ago
We are looking for a skilled Machine Learning Engineer for Ads Optimization to join our Ads Targeting team in Los Angeles or New York. In this role, you will apply machine learning models to scale budgets by understanding user interest and intention, building large-scale foundations for data processing and serving for next-generation ad targeting products.
The ideal candidate will have a strong background in machine learning, a solid foundation in data structures and algorithms, and hands-on experience with big data processing frameworks such as Hadoop and Spark. You will collaborate with product managers to define ad targeting product strategy and features based on data-driven methods and industry trends, designing, optimizing, and implementing ad targeting strategies.
A competitive salary of $140,000 - $190,000 per year, depending on experience, is offered for this position. Additionally, you will receive comprehensive health insurance, flexible work arrangements, and opportunities for professional growth and development.
You will be responsible for:
- • Building high-load distributed systems or data processing pipelines.• Troubleshooting machine learning workloads on distributed systems.• Developing modern ads ranking/retrieval/targeting systems and recommender systems.
About Us
TikTok is a global social media platform with a presence in over 150 markets. Our mission is to inspire creativity and bring joy to users worldwide. We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
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