Jericho Security
| Company | Jericho Security |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Entry Level/New Grad |
Requirements
- Currently enrolled in a Master’s program in Computer Science, Machine Learning, Data Science, Statistics or a related technical field
- Strong understanding of machine learning concepts and techniques (e.g., supervised/unsupervised learning, deep learning)
- Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience working with data (data cleaning, feature engineering, etc.)
- Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms is a plus
- Strong communication skills and ability to work independently in a remote setting
- Ability to find solutions to open-ended, potentially complex problems
Responsibilities
- Assist in the development, testing, and evaluation of machine learning models
- Clean, process, and analyze large datasets
- Contribute to experimentation and documentation of model performance
- Collaborate with cross-functional teams to deploy ML solutions
- Research and prototype new algorithms under guidance from senior team members
- Present findings and updates in weekly team meetings
Preferred Qualifications
- Experience with NLP, computer vision, or reinforcement learning
- Familiarity with in-context learning, prompt engineering, and LLM post-training methods
- Familiarity with online experiments via A/B testing
- Prior internship or research experience in ML
- Contributions to open-source ML projects