Machine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 Start (PhD)
Seattle, Washington, United States
USD 129K-246K (estimate) Entry-level Full Time
Tasks
- Advance generative recommendation and large recommendation models
- Apply reinforcement learning for long term value
- Build and optimize recommendation models
- Develop cross-domain and multimodal modeling solutions
- Launch scalable solutions with cross functional teams
- Run experiments and measure business impact
- Translate business problems into modeling solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Advertising | Algorithms | C++ | Causal Inference | Contrastive Learning | Data Structures | Debiasing | Deep learning | Distributed Training | Generative Recommendation | Language Models | Language Processing | Large Language Models | Long Term Value | Long-term value optimization | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | Online Experimentation | Post-training | Pre-training | PyTorch | Python | Ranking | Recommendation Systems | Recommender System | Recommender System Evaluation | Reinforcement Learning | Retrieval | SFT | Search | System Evaluation | Value optimization
Education
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