Applied AI Researcher

Jersey City, NJ, US • Posted 6 days ago • Updated 6 days ago
Contract Independent
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Deep Learning
  • Machine Learning (ML)
  • Research

Summary

Applied AI Researcher

  • 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, product, business, risk, and governance stakeholders.
  • Ability to translate research results into production requirements suitable for an AWS-hosted enterprise platform.

Role purpose

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

Client-specific emphasis

  • Research must be grounded in enterprise business use cases, not generic AI experimentation.
  • Candidates should understand how model, retrieval, data, evaluation, latency, cost, and safety decisions affect production delivery on AIRP.
  • Cloud/AWS awareness is valuable because successful research outputs must be handed off to engineering teams building on AWS-hosted AIRP.

Primary ownership

  • Applied research agenda for LLMs, NLP, RAG, evaluation, multimodal AI, and agentic workflows relevant to enterprise use cases.
  • Prototypes, experiments, benchmark design, model-selection recommendations, and production-readiness evidence.
  • Research-to-production handoff with AI engineering, AIRP platform, product, risk, and governance teams.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10360765
  • Position Id: 9039558
  • Posted 6 days ago
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