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AllianceBernstein

Investment management and research for institutions

AI Research Scientist

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeNashville, TN, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative field is required.
  • At least 2 years of experience building and deploying machine learning or artificial intelligence solutions in production is required.
  • Strong Python skills and experience writing production-grade, well-tested code are required.
  • A solid grounding in machine learning, statistical modeling, and predictive analytics is required.
  • Hands-on generative artificial intelligence experience, including large language models, embeddings, retrieval systems, prompt engineering, and large language model evaluation, is required.
  • Experience designing agentic or multi-agent systems using tool calling, application programming interface integrations, Model Context Protocol, and orchestration frameworks such as LangGraph or LlamaIndex is required.
  • Clear communication skills, including the ability to explain technical trade-offs to non-technical stakeholders, are required.

Responsibilities

  • Build generative artificial intelligence applications by designing and deploying large language model-powered systems, including retrieval-augmented generation, intelligent agents, and multi-step agentic workflows that automate complex research and analytical tasks.
  • Develop forecasting, ranking, and predictive models from structured and unstructured data to support investment research, portfolio management, and risk analysis.
  • Build scalable software and data pipelines, and set up evaluation, monitoring, observability, and governance to keep models reliable and deliver measurable business value.
  • Work with investment, operation, and distribution teams to turn business problems into practical, well-scoped artificial intelligence solutions.
  • Evaluate emerging research and tools, prototype promising approaches, and lead their adoption across the organization.

Desired Qualifications

  • A master's degree or PhD in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative field is preferred.
  • Experience applying artificial intelligence or quantitative methods in asset management, financial services, fintech, or capital markets is preferred.
  • Working knowledge of investment research, portfolio management, financial modeling, or risk management is preferred.
  • Experience with financial text data such as company filings, earnings call transcripts, news, and research reports is preferred.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP; distributed computing; vector databases; and MLOps practices such as CI/CD, containerization, and experiment tracking is preferred.
  • A track record of turning research-stage artificial intelligence ideas into scalable business applications is preferred.

About the Company

AllianceBernstein

Investment management and research for institutions

AllianceBernstein provides investment management and research services for individuals, financial advisors, and institutional clients such as pension funds and endowments. It manages assets and offers investment advice, using its global research capabilities to build tailored strategies across asset classes and regions. Revenue comes from management fees and performance-based fees tied to investment results. The company distinguishes itself through its combination of deep research, global reach, and customized solutions, serving a diverse client base and emphasizing collaborative culture and sustainability. Its goal is to help clients navigate change and achieve long-term value by integrating responsible practices into its investment approach.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Nashville, TN
Founded
1967

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