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# Machine Learning Engineer Graduate (E-Commerce Recommendation Foundation) - 2027 Start

- **Company:** TikTok View all jobs
- **Location:** Seattle, WA, United States
- **Experience:** Starter
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Pytorch, Large Language Models, Deep Learning, Information Technology, Machine Learning Operations
- **Published:** August 5, 2026
- **Apply:** https://www.careerjet.com/job/us311f9ca908e7096265e5bc803191ddf4/eaa

## About the Role

Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline.

 - Solid foundation in machine learning and deep learning, with strong interest in LLMs and generative recommendation.
 - Proficiency in Python and experience with deep learning frameworks such as PyTorch.
 - Self-driven, with a strong research mindset and solid engineering skills.
Preferred Qualifications:

 - Experience with pre-training, mid-training, or post-training of LLMs or Foundation Models.
 - Research or project experience in generative recommendation, LLM-native recommendation, or multimodal semantic tokenization.
 - Publications on LLM-related topics at top-tier machine learning or natural language processing conferences, such as NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL, or strong achievements in major technical competitions.

## Description

1. Participate in the full training lifecycle of Recommendation Foundation Models, including pre-training, mid-training, and post-training.
 2. Design and train multimodal semantic tokenizers for recommendation items, leveraging multimodal foundation models to encode rich item content into discrete semantic tokens and raise the performance ceiling of Recommendation Foundation Models.
 3. Develop LLM-native recommendation by incorporating recommendation tasks directly into large language model training and leveraging world knowledge to improve recommendation quality.
 4. Build the next generation of recommendation systems powered by Recommendation Foundation Models, spanning retrieval, ranking, and end-to-end generative recommendation., We are conducting a confidential search for a Principal Machine Learning Engineer to serve as the senior technical authority for ML systems within a technology organization based i…
 + 2 days ago


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