AI Researcher/Prototyping Engineer
Tasks
- Apply machine learning to real-world problems
- Build LLM driven agents
- Communicate research outcomes to stakeholders
- Conduct signal processing natural language processing graph analytics research
- Create realistic datasets and metrics
- Design controlled experiments
- Design machine learning methods
- Develop speech natural language processing multimedia algorithms
- Document code and maintain reproducible experiments
- Implement end to end agent evaluation
- Lead small research teams
- Publish and present research
- Research adversarial AI
- Turn algorithms into prototypes
Perks/Benefits
- 401k matching
- Comprehensive health dental vision plans
- Mentorship programs
- Paid leave
- Pension
- Tuition reimbursement
- Work-life balance options
Skills/Tech-stack
Adversarial AI | Agentic AI | Conda | Continuous integration | Cybersecurity | Deep learning | Git | Graph analytics | HuggingFace Transformers | Jupyter Notebooks | LLM Agents | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Perception | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | SciPy | Signal Processing | Speech Processing | TensorFlow | Testing | Virtualenv
Education
Roles
AI | AI Researcher | Engineer | Learning Engineer | Machine Learning Engineer | Research Engineer | Researcher
Regions
Countries
States
Cities
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