Machine Learning Engineer
24 hours ago
TikTok is revolutionizing the way small and medium businesses succeed. As a Machine Learning Engineer on our SMB Monetization team, you will play a crucial role in developing personalized strategies to drive growth and revenue. Your work will directly impact our company's P&L and monetization roadmap.
Responsibilities:
1. Develop cutting-edge machine learning models to enhance SMB advertisers' performance, predicting key performance indicators like click-through rates and conversion rates.
2. Collaborate with cross-functional teams to design and implement innovative solutions, leveraging data and technology to drive business outcomes.
3. Build TTAM Copilot by integrating LLMs into our products and services, improving advertiser engagement and user satisfaction.
Qualifications:
1. Master's degree in Computer Science, Engineering, Mathematics, or a related field.
2. Experience with machine learning, in either an academic or industrial setting.
3. Strong knowledge of machine learning algorithms and techniques, including natural language processing, computer vision, and click-through rate prediction.
4. Proficiency in programming languages such as Python, C++, Go, or Java, and experience with machine learning libraries and frameworks.
5. Experience with big data technologies, such as Hadoop, Spark, or Hive.
6. Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems.
7. Very strong teamwork skills, including communication, collaboration, ownership, empathy, and honesty.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. We are passionate about inspiring creativity and bringing joy to our users, and we hope you are too.
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