Applied AI Researcher

Compunnel, Inc.; Jersey City (NJ); On-site; USD 130,000 - 160,000; Full time

Job summary

Compunnel, Inc. is seeking an experienced AI Researcher to bridge advanced AI research with practical enterprise use cases. You will validate models and design experiments to translate research into banking-relevant applications, focusing on measurable business value.

The ideal candidate should have over 7 years of experience in AI and machine learning, with strong foundations in LLMs and Python skills. This role is pivotal in developing AI solutions in a collaborative environment.

Qualifications

• 7+ years of experience with a strong research background.
• Hands-on experience with LLMs and applied GenAI experimentation.
• Ability to design rigorous experiments.

Responsibilities

• Conduct applied research in LLMs, GenAI, NLP, and multimodal AI.
• Design experiments to evaluate model performance and safety.
• Collaborate with engineers to convert prototypes into production-ready systems.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Generative AI

Python

Education

Advanced degree (MS or PhD) in AI, ML, computer science, or related field

Tools

PyTorch

TensorFlow

Hugging Face

scikit-learn

Job description

Job Summary

Bridge advanced AI research and practical enterprise use cases by validating models, methods, and prototypes that can become production-grade solutions. The role focuses on measurable business value, rigorous experimentation, model behavior, and safe translation of research into banking-relevant applications.

Key Responsibilities

• Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI.
• Design experiments to evaluate model performance, robustness, safety, scalability, interpretability, and enterprise usefulness.
• Prototype AI solutions for use cases such as document intelligence, financial analysis, compliance support, knowledge retrieval, and operational automation.
• Develop evaluation methodologies using golden datasets, adversarial testing, offline benchmarks, human review, and business outcome metrics.
• Assess prompt optimization, RAG, fine-tuning, instruction tuning, synthetic data generation, distillation, and model adaptation techniques.
• Collaborate with engineers to convert prototypes into production-ready systems with clear requirements, limitations, and acceptance criteria.
• Track emerging AI research and translate relevant advances into practical recommendations for the enterprise.
• Produce internal research papers, technical notes, implementation guides, and thought‑leadership materials.

Required Qualifications

• 7+ years of experience, with strong research background.
• Advanced degree preferred, usually MS or PhD in AI, ML, computer science, statistics, computational linguistics, mathematics, or related field.
• Strong foundation in machine learning, deep learning, NLP, transformers, information retrieval, and generative AI.
• Hands‑on experience with LLMs, embeddings, RAG, model evaluation, and applied GenAI experimentation.
• Python skills with PyTorch, TensorFlow, Hugging Face, scikit‑learn, or equivalent research frameworks.
• Ability to design rigorous experiments and communicate findings to technical and business stakeholders.

Preferred Qualifications

• Research or applied science experience in banking, finance, compliance, risk, legal, operations, or enterprise knowledge systems.
• Publications, patents, internal research contributions, or open‑source AI contributions.
• Familiarity with Responsible AI, model validation, privacy constraints, and regulated deployment environments.