Research Scientist, ML Recommendation Systems, Applied Machine Learning Team
San Jose, California, United States
USD 162K-387K Mid-level Full Time
Tasks
- Build machine learning models for recommendation systems
- Collaborate to optimize training and inference systems
- Design optimize recommendation model architectures
- Implement reinforcement learning for personalization
- Integrate long term user behavior signals
- Research and apply multimodal techniques
- Scale recommendation models
- Test and deploy end to end ML pipelines
- Validate model impact on user experience
Perks/Benefits
- 401k match
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Short-term disability
- Vision insurance
- Wellbeing benefits
Skills/Tech-stack
C++ | Computer Vision | Deep learning | End to End | End to End Machine Learning Pipelines | End-to-end machine learning | Generative Models | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Pipelines | Model Deployment | Multimodal Learning | Natural Language | Natural Language Processing | Production ML | PyTorch | Python | Recommendation Systems | Reinforcement Learning | TensorFlow | Transformers
Education
Regions
Countries
States
Cities
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