Senior Machine Learning Engineer

TDToronto, ON
Onsite

About The Position

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 more people achieve their financial goals and needs. Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications. We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.

Requirements

  • 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

Nice To Haves

  • Research experience with publication record
  • Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
  • Experience with building and scaling data-intensive software
  • Experience using GPUs for accelerated deep learning training

Responsibilities

  • Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
  • Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
  • 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

Benefits

  • health and well-being benefits
  • savings and retirement programs
  • paid time off
  • banking benefits and discounts
  • career development
  • reward and recognition programs
  • training programs
  • competitive benefits plan
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