Senior Software Engineer, Machine Learning; LLM & Agentic AI Content Ecology Local S

Senior Software Engineer, Machine Learning (LLM & Agentic AI
- Tik Tok
- Content Ecology Local Services)

Location:

San Jose

Employment Type:

Regular

Job Code:

A31632

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The Content Ecology Algorithm Team drives Tik Tok's AI innovations in LLMs/MLLMs, NLP, Computer Vision, Multimodal learning, Agentic AI, and recommendation algorithms. We develop cutting-edge AI capabilities that power multiple business lines.

You will tackle unique algorithm challenges in building products for a global audience. Our platform's diverse content and worldwide user base create a wealth of opportunities for AI applications. With rapidly growing businesses such as Tik Tok Local Services, you'll have the chance to bring cutting-edge AI innovations into real-world production.

• - Drive the research and development of core algorithms for Tik Tok Local Services, leveraging LLMs/MLLMs, Agentic AI, NLP, Computer Vision, conversion modeling, global optimization, and causal uplift modeling.
• - Develop deep semantic representations and structured models of content, products, and user intent, while building foundational capabilities across product knowledge graphs, intent understanding, and end-to-end intelligent transaction optimization.
• - Continuously enhance both supply- and demand-side experiences to drive sustainable growth in transaction conversion.
• - Tackle frontier technical challenges unique to local services, including multilingual and multimodal understanding, highly dynamic environments, and long-horizon sequential decision-making.
• - Stay at the forefront of research, translate state-of-the-art advances into production-grade solutions, scale proven innovations, and establish reusable algorithmic foundations with broad applicability.

• - Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering or a related technical field.
• - Strong foundations in machine learning and deep learning, with a solid understanding of Transformer architectures, LLMs, multimodal large language models, and modern representation learning techniques.
• - Experience in one or more relevant areas, such as NLP, computer vision, multimodal understanding, AI agents, knowledge graphs, retrieval and recommendation, conversion modeling, causal uplift modeling, or decision optimization.
• - Hands-on experience with Python, PyTorch, distributed model training, and large-scale data processing, with strong algorithmic, software engineering, and production deployment capabilities.
• - Proven ability to formulate and solve complex, ambiguous problems, translate research advances into scalable production solutions, and deliver measurable business impact.
• - Strong cross-functional collaboration and communication skills, with a track record of driving technically complex projects to high-quality execution.

• - Experience building large-scale machine learning systems for e-commerce, recommendation, search, advertising, marketplaces or other transaction-oriented products.
• - Experience working with multilingual, multimodal, or highly dynamic data and deploying models in large-scale production environments.
• - Publications at leading conferences, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, KDD, WWW, SIGIR, Rec Sys, AAAI, Interspeech, or ICASSP.
• - Demonstrated technical leadership through driving cross-functional initiatives, establishing reusable algorithmic capabilities, or mentoring engineers and researchers.

The base salary range for this position in the selected city is $218400 - $480000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s…