TD

Applied Machine Learning Scientist II

TD

full-time

Posted on:

Location Type: Hybrid

Location: New York CityMaineNew JerseyUnited States

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Salary

💰 $96,130 - $155,950 per year

Job Level

About the role

  • 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.
  • Independently manage end-to-end functional programs and deliverables.

Requirements

  • Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
  • 1+ years relevant experience (includes postgraduate experience)
  • 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-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.
  • 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)
Benefits
  • Health insurance
  • Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
  • Retirement plans
  • Career development opportunities
  • Reward and recognition programs
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningAIGenerative AIstatistical analysismodelingDeep LearningNatural Language ProcessingPythonquantitative analysisfair lending
Soft Skills
leadershipadvisory supportcommunicationindependent managementanalytical thinking