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Machine Learning Engineer
Machine Learning EngineerTD Securities • Toronto, Canada
Machine Learning Engineer

Machine Learning Engineer

TD Securities • Toronto, Canada
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Machine Learning Engineer – TD Securities

Location :

Toronto, Ontario, Canada

Salary :

$120,000 – $250,000 CAD (annual base)

Hours : 37.5 per week

Line of Business :

Analytics, Insights & Artificial Intelligence

Job Description

Layer 6 is the AI Center of Excellence for TD Bank Group. We develop and deploy industry‑leading machine learning systems that impact the lives of over 27 million customers, helping them achieve their financial goals and needs. Our work spans deep learning, generative AI, time‑series forecasting and responsible use of AI. We have access to massive financial datasets and collaborate with world‑renowned academic faculty, driving research, engineering and impactful applications.

As a Machine Learning Engineer you will work on real‑world, large‑scale datasets ranging from banking transactions and conversation transcripts to large document collections.

Responsibilities

Join a world‑class team of AI developers with an extensive track record of shipping solutions at the cutting edge.

Architect scalable machine learning and generative AI systems that integrate with the existing data platform and infrastructure, focusing on automation, operational efficiency and reliability.

Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI applications.

Work with large‑scale, real‑world datasets that range from banking transactions, conversation histories, to large document collections.

Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge sharing.

Required Qualifications

Master or bachelor's degree in computer science, statistics, mathematics, engineering or a related field.

3+ years of developer experience shipping code in production settings.

Strong background in machine learning and deep learning.

Strong coding proficiency in Python, Java, C, or C++.

You value good software design and sweat over details in code and API design.

You take great personal pride in building robust and scalable software.

You are highly accountable and have a strong sense of ownership.

You strive to communicate clearly and with empathy.

Preferred Qualifications

Research experience with publication record.

Experience with LangGraph, PyTorch, TensorFlow, Jax, or comparable libraries.

Experience with building and scaling data‑intensive software.

Experience using GPUs for accelerated deep learning training.

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