Applied Machine Learning Scientist II – AI/ML, Fraud/Risk, GenAI, Agentic AI

Applied Machine Learning Scientist II developing next-gen AI/ML solutions at TD Bank. Leading projects focused on fraud, risk, and operational intelligence with significant analytical responsibilities.

Posted 6/9/2026full-timeNew York City • Massachusetts, New York • 🇺🇸 United StatesJunior💰 $96,130 - $155,950 per yearWebsite

Tech Stack

Tools & technologies

PySparkPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

Lead the end-to-end development and deployment of advanced AI/ML solutions
Design and implement production-grade machine learning systems
Drive innovation in emerging AI capabilities
Develop scalable data science and AI pipelines
Mentor and guide junior scientists

Requirements

What you’ll need

Undergraduate degree required, advanced technical degree preferred
1+ years relevant experience
Extensive experience developing and deploying advanced AI/ML solutions in enterprise environments
Strong hands-on experience with machine learning, deep learning, NLP, LLMs, Generative AI, and modern AI application architectures
Deep expertise in Python, PySpark, SQL, and modern ML/AI frameworks such as PyTorch, TensorFlow
Strong understanding of AI governance, explainability, model risk management

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
Career development
Reward and recognition

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills & Tools

machine learningdeep learningnatural language processinglarge language modelsgenerative AIPythonPySparkSQLPyTorchTensorFlow

Soft Skills

mentoringguiding

Certifications

undergraduate degreeadvanced technical degree