Research Engineer, Knowledge Graph Intelligence
Tasks
- Apply sparse data learning techniques
- Build natural language processing solutions
- Conduct data preprocessing and feature engineering
- Conduct predictive modeling clustering and time series analysis
- Develop machine learning models for production
- Evaluate model performance
- Implement generative AI solutions
- Integrate models into production systems
- Manage research methodology and prototyping
- Optimize model accuracy and generalization
- Perform data collection and analysis
- Perform model explainability and error analysis
- Stay current with natural language processing advancements
Perks/Benefits
- 401k match
- Employee affinity groups
- Family leave
- Health care benefits
- Parental leave
- Tuition assistance
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
Attention Mechanisms | Data Augmentation | Data Preprocessing | Deep learning | Embeddings | Feature Engineering | Foundation Models | Hugging Face | LLMs | Language Processing | Linux | Model Evaluation | Model Explainability | Natural Language | Natural Language Processing | NumPy | PyTorch | Python | Quantization | Semi-Supervised Learning | Semi-supervised | Spacy | Sparse data | Supervised Learning | Tokenization | Transformers | Weak Supervision
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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