AI Research Scientist, CoreML - Monetization AI
Sunnyvale, CA | Menlo Park, CA | San Francisco, CA
USD 135K-180K (estimate) Entry-level Full Time
Tasks
- Apply RLHF
- Apply causal learning for cause and effect
- Apply cold start modeling
- Apply domain adaptation and continual learning
- Apply reinforcement learning for long term value optimization
- Apply sampling and debiasing
- Apply self supervised learning
- Apply semi-supervised learning
- Collaborate to design and optimize ML systems
- Deploy ML solutions to production
- Design and implement generative modeling for data augmentation
- Develop and apply next generation sequence learning
- Develop and deploy AutoML pipelines
- Develop content understanding models
- Develop large-scale model architectures
- Develop quantization and compression approaches
- Implement hardware/software co-design
- Optimize model scaling and transfer learning
- Prioritize training scalability and signal scaling
- Research graph-aware large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Automl | Causal Inference | Causal Learning | Co-design | Cold Start | Continual Learning | Data Augmentation | Debiasing | Domain Adaptation | Generative Modeling | Graph Neural Networks | Hardware-Software Co-design | Hardware/software | Language Models | Language Processing | Large Language Models | Long-term value optimization | Model Compression | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | Quantization | RLHF | Reinforcement Learning | Reinforcement Learning for Long Term Value Optimization | Sampling | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Software Co-design | Supervised Learning | Transfer Learning | Value optimization
Education
Regions
Countries
States
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