Senior Machine Learning Engineer/Tech Lead, TikTok Monetization - Ad Growth

California Jobs; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a forward-thinking company as a Senior Machine Learning Engineer/Tech Lead, where you will shape the future of advertising through innovative strategies and advanced machine learning models. Engage with cutting-edge technology to enhance the advertising experience for global clients and drive TikTok's growth. This role offers the chance to work on large-scale user systems and AI-driven recommendations, making a significant impact on the monetization roadmap. If you are passionate about leveraging technology to connect businesses with customers, this is the opportunity for you!

Qualifications

• Master's degree in Computer Science or related field required.
• Experience with machine learning in academic or industrial settings.
• Strong knowledge of ML algorithms and analytical skills.

Responsibilities

• Develop personalized strategies to shape TikTok Monetization's growth.
• Collaborate with teams to design advanced machine learning models.
• Integrate LLMs into products to improve advertiser engagement.

Skills

Machine Learning

Natural Language Processing (NLP)

Computer Vision

Python

C++

Go

Java

TensorFlow

PyTorch

Big Data Tools

Education

Master's degree in Computer Science

PhD in relevant fields

Tools

Hadoop

Spark

Hive

scikit-learn

Job description

Senior Machine Learning Engineer/Tech Lead, TikTok Monetization - Ad Growth

Location: San Jose

Employment Type: Regular

Job Code: A132132A

Responsibilities

We are TikTok Monetization Ad Growth Team, dedicated to creating an exceptional advertising experience and intelligent growth marketing strategies for global advertising clients. You will engage with challenging technical domains such as large-scale user systems, diverse advertising fields (ad creation, material optimization, delivery strategy, attribution, measurement, etc.), AI-driven personalized recommendations and growth strategies, and massive client profiling powered by LLM and big data. We seek individuals passionate about leveraging technology to help global SMB advertisers connect with customers, achieve business success, and drive TikTok's advertising growth.

1. Shape TikTok Monetization's growth through developing personalized strategies like coupons, internal advertising, and intelligent suggestions, directly influencing the company's P&L and monetization roadmap.
2. Collaborate with cross-functional teams to design advanced machine learning models to enhance SMB advertisers' performance, including predicting KPIs such as click-through and conversion rates.
3. Build TTAM (TikTok Ads Manager) Copilot by integrating LLMs into our products to improve advertiser engagement, including developing Generative-AI based QAs, auto-creation recommendations, and conversational creation flows.

Qualifications

Minimum Qualifications:

• Master's degree in Computer Science, Engineering, Mathematics, or related field.
• Experience with machine learning in academic or industrial settings.
• Strong knowledge of ML algorithms, NLP, computer vision, CTR prediction, etc.
• Proficiency in Python, C++, Go, or Java; experience with TensorFlow, PyTorch, scikit-learn.
• Experience with big data tools like Hadoop, Spark, Hive.
• Strong analytical, problem-solving, and teamwork skills.

Preferred Qualifications:

• PhD in relevant fields.
• Experience in advertising and recommendation systems.
• Experience with LLM and AIGC.