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TD

Applied Machine Learning Scientist II

TD

. Lead reviews of machine learning, AI, and Generative AI models across TD to identify potential fairness and bias risks.

Posted 4/29/2026full-timeCharlotte • Maine, New Jersey, New York, North Carolina • 🇺🇸 United StatesJunior💰 $96,130 - $155,950 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudHadoopPySparkPythonPyTorch

About the role

Key responsibilities & impact
  • Lead reviews of machine learning, AI, and Generative AI models across TD to identify potential fairness and bias risks.
  • Represent Compliance in major projects, initiatives, and enterprise engagements.
  • Perform quantitative analyses to identify fair lending risks associated with model development and use.
  • Identify and recommend alternative approaches to mitigate fair lending bias arising from models.
  • Develop specialized analytical tools to support project-specific needs or ongoing review activities.
  • Compile, analyze, and generate ad-hoc analytical reports for internal stakeholders.
  • Lead research efforts by applying advanced statistical analysis and modeling expertise.
  • Provide advisory support to line-of-business model owners on compliance best practices aligned with internal policies and industry standards.
  • Lead cross-functional teams or initiatives involving significant complexity.
  • Independently manage end-to-end functional programs and deliverables.

Requirements

What you’ll need
  • Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
  • Master's degree in computer science, machine learning, AI, engineering, statistics, data science, mathematics or related field with 4+ years of relevant work experience in either developing or validating Generative AI, LLMs, NLP and other Deep Learning models.
  • In-depth knowledge of AI/ML methodologies, concepts and theory including Generative AI, Deep Learning, modern Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Transformers, Diffusion models etc.
  • Experience with Deep Learning and Generative AI technology stacks and libraries such as PyTorch, PromptFlow, LangChain, HuggingFace, etc.
  • Academic or industry research experience in Responsible AI, fairness, or model evaluation
  • Proficient in one or more scripting/programming languages such as Python.
  • Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., PySpark, Hadoop).
  • Knowledge of machine learning explain-ability/interpretability algorithms.
  • Excellent verbal and written communication skills and stakeholder management abilities (position requires writing and reviewing reports of a technical nature).

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningGenerative AIDeep LearningNatural Language ProcessingRetrieval-Augmented GenerationTransformersDiffusion modelsstatistical analysisPythonmodel evaluation
Soft Skills
communication skillsstakeholder managementleadershipadvisory supportcross-functional team managementanalytical skillsindependent program management