AI/ML Research Scientist
Tasks
- Build LLM driven agents
- Collaborate with cyber and intelligence teams
- Conduct adversarial AI research
- Define quantitative success metrics
- Design controlled experiments
- Design machine learning methods
- Develop ML prototypes for real world problems
- Develop graph analytics methods
- Develop multimodal perception models
- Develop natural language processing algorithms
- Develop speech processing algorithms
- Present research to stakeholders
- Publish research at conferences
- Write technical briefs and white papers
Perks/Benefits
- 401k matching
- Comprehensive health dental vision plans
- Continuing education
- Mentorship programs
- Paid leave
- Pension
- Tuition reimbursement
- Work-life balance options
Skills/Tech-stack
Adversarial Machine Learning | Agentic AI | Artificial Intelligence | Conda | Conda Environment | Continuous integration | Cybersecurity | Deep learning | Git | Graph analytics | Huggingface | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Perception | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | Research experimentation | SciPy | Speech Processing | TensorFlow | Virtualenv
Education
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