Research Engineer, Monetization AI
Sunnyvale, CA | Bellevue, WA | Menlo Park, CA | Seattle, WA | New York, NY | Fremont, CA
USD 117K-173K (estimate) Entry-level Full Time
Tasks
- Address cold start problems
- Apply debiasing methods
- Apply generative techniques for sampling
- Apply next generation sequence learning techniques
- Build and deploy machine learning pipelines
- Collaborate on hardware/software co-design
- Conduct quality and accuracy reviews
- Design and implement generative modeling for data augmentation
- Develop large-scale model architectures
- Develop machine learning solutions using large language models
- Implement responsible ethical AI risk assessment
- Implement self supervised learning methods
- Implement semi supervised learning methods
- Improve training scalability and signal scaling
- Integrate AI tools to optimize workflows
- Mitigate bias in AI models
- Optimize model performance with model scaling and transfer learning
- Perform content understanding
- Use continual learning approaches
- Use domain adaptation
- Use quantization and compression for efficient AI
Perks/Benefits
- N/A
Skills/Tech-stack
Co-design | Cold Start | Content Understanding | Continual Learning | Data Augmentation | Debiasing | Deep learning | Domain Adaptation | Generative AI | Generative Modeling | Hardware-Software Co-design | Hardware/software | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Pipelines | Model Compression | Model Scaling | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Quantization | Recommender Systems | Sampling | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Sequence Learning | Software Co-design | Supervised Learning | Transfer Learning
Education
Roles
AI | AI Researcher | Engineer | Learning Engineer | Machine Learning Engineer | Research Engineer | Researcher
Regions
Countries
States
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