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Machine Learning Engineer Graduate (E-Commerce Content Recommendation - Generative & Large Recommendation Model) - 2027 Start (PhD)
Summary by AIEngineer.careers
Machine Learning Engineer Graduate (E-Commerce Content Recommendation - Generative & Large Recommendation Model) - 2027 Start (PhD) is a Machine Learning Engineer role (full-time). with TikTok. in SEATTLE, US. Compensation shown: $154K–$301K. Imported listing (source: themuse.com). Apply on the employer's site (themuse.com).
Imported listing (source: themuse.com) · Apply on themuse.com
SEATTLE · US
$154K–$301K
Full-time
JUNIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from themuse.com
Join TikTok's Global E-Commerce Content Recommendation team to build next-generation recommendation systems using LLMs and large-scale models. This graduate role focuses on rewriting the industrial stack for billion-scale users, covering retrieval, ranking, and generative AI techniques. You will work on cutting-edge problems in scaling laws, semantic tokenization, and hardware-optimized inference.
Responsibilities
- Build and scale recommendation models from hundreds of millions to billions of parameters
- Develop one-stage generative retrieval systems using MLLM semantics and autoregressive models
- Implement custom CUDA/Triton kernels for memory and computation-graph optimization
- Integrate world knowledge and reasoning models to improve user intent discovery
- Utilize coding agents for automated feature mining, pipeline generation, and experiment orchestration
Requirements
- PhD in Computer Science, AI, Mathematics, Statistics, or related field
- Strong fundamentals in ML algorithms, data structures, and clean code practices
- Deep research or engineering experience in LLMs, NLP, CV, RL, or recommendation/search
- Ability to articulate technical choices and limitations in past projects
TikTok
Los Angeles · US · 36997+ employees
TikTok is a short-form video hosting social media platform owned by ByteDance. It provides tools for content creation, sharing, and social networking, serving a global audience.
