Machine Learning Engineer - Global E-commerce (ETA, Pricing & Conversion)
Seattle, Washington, United States
USD 136K-256K (estimate) Entry-level Full Time
Tasks
- Analyze spatio temporal sequences
- Apply reinforcement learning
- Build ETA prediction systems
- Deploy AI agents to diagnose and resolve issues
- Design causal inference pricing models
- Develop AI agents using agent skill framework
- Develop domain specific LLMs
- Implement impression allocation and dynamic presentation
- Integrate fulfillment factors into search and recommendation ranking
- Optimize multi objective pricing strategies
- Perform continual pre-training
- Perform supervised fine-tuning
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Causal Inference | Continual pretraining | Deep learning | Fine Tuning | Impression Allocation | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Objective Optimization | Natural Language | Natural Language Processing | Objective optimization | Recommendation Systems | Reinforcement Learning | Search & Ranking | Spatio-temporal modeling | Supervised Fine Tuning | Temporal modeling
Education
N/A
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