Trend Micro

Applied AI ML Engineer - Ottawa, ON

Trend Micro$105K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience in Machine Learning Engineering or Generative AI development, with proven delivery of production-grade systems.
  • Strong knowledge of machine learning principles, model evaluation, and statistical analysis.
  • Experience in developing applications powered by Large Language Models or autonomous systems.
  • Proficient in Python and deep learning frameworks like PyTorch or TensorFlow.
  • Solid software engineering skills, including unit testing and version control practices.

Responsibilities

  • Lead the design and implementation of advanced AI architectures with long-horizon reasoning and memory management.
  • Develop and deploy multi-agent systems to automate complex security operations.
  • Select and optimize Large and Small Language Models for specific applications.
  • Manage end-to-end machine learning pipelines, from data processing to deployment.
  • Enhance model performance with techniques like quantization and pruning; maintain MLOps infrastructure.
  • Use advanced analytics to boost threat detection and risk assessment in cybersecurity.
  • Establish benchmarks for model performance aligned with business goals.

Benefits

  • Group benefits program with health and dental coverage
  • Telehealth Virtual Health Services
  • Life Insurance
  • Short & Long Term Disability
  • Paid Time Off
  • Tuition Assistance
  • Employee Resource Groups
  • 14 Annual Holidays
Full Job Description
Location: This is a hybrid role with a minimum in-office requirement of 3 days per week in the Ottawa, ON office located at 40 Hines Rd, Ottawa, ON K2K 2M5.

Position Summary

TrendAI builds AI-powered cybersecurity solutions protecting millions of customers worldwide. We're looking for Applied AI/ML Engineers to ship production AI features on the Trend Vision One™ Platform - from model training to GenAI system design and deployment.

Key Responsibilities
  • Architecting Autonomous Systems: Lead the design and implementation of sophisticated AI agent architectures, incorporating tool-calling capabilities, long-horizon reasoning, advanced memory management, and Retrieval-Augmented Generation (RAG).
  • Orchestrating Multi-Agent Workflows: Develop and deploy complex multi-agent systems utilizing industry-standard patterns-including ReAct, Plan-and-Execute, and reflection loops-to automate intricate security analysis and operations.
  • Model Selection & Optimization: Strategically select, integrate, and fine-tune Large Language Models (LLMs) and Small Language Models (SLMs) tailored for domain-specific applications, ensuring an optimal balance between inference latency, operational cost, and predictive accuracy.
  • End-to-End Pipeline Management: Architect and sustain comprehensive machine learning pipelines, encompassing the full lifecycle from data ingestion and feature engineering to model training, rigorous evaluation, and production deployment.
  • Inference & Infrastructure Engineering: Enhance model performance through advanced optimization techniques such as quantization, pruning, and TensorRT; maintain robust MLOps infrastructure and manage the model lifecycle pipelines
  • Advanced Cybersecurity Analytics: Leverage deep learning, time-series analysis, and Graph Neural Networks (GNNs) to enhance threat detection, classification, and proactive risk assessment within the cybersecurity domain.
  • Performance Benchmarking: Establish automated evaluation frameworks and performance benchmarks aligned with business KPIs to monitor and improve model quality and reliability over time.


Qualifications
  • Minimum of 2+ years of professional experience in Machine Learning Engineering or Generative AI development, with a documented track record of delivering production-grade systems.
  • Deep technical foundation in machine learning principles, including model evaluation methodologies, hyperparameter optimization, regularization techniques, and statistical analysis.
  • Demonstrated success in developing LLM-powered applications or autonomous agentic systems.
  • Advanced proficiency in Python and established deep learning frameworks such as PyTorch or TensorFlow.
  • Strong software engineering fundamentals, including rigorous unit/integration testing, Git-based version control, and collaborative code review practices.


Preferred (Plus)
  • Hands-on experience with orchestration layers such as LangChain, LangGraph, or MCP.
  • Proven ability to fine-tune open-source models (e.g., Llama, Mistral, BERT, T5) and implement sophisticated prompt engineering strategies.
  • Experience with large-scale data processing via Apache Spark/PySpark and deployment on major cloud platforms (AWS, GCP, or Azure).
  • Proficiency in GPU optimization, including CUDA kernel development, TensorRT, and hardware-aware model compression.
  • Professional background in cybersecurity or familiarity with industry frameworks such as MITRE ATT&CK or NIST CSF.


Education

BS/MS in Computer Science, Machine Learning, or equivalent experience.

What We Offer You:

You're important to us. What matters to you, matters to us too. TrendAI provides benefit options for you and your family.
  • Group benefits program with health and dental coverage
  • Telehealth Virtual Health Services
  • Life Insurance
  • Short & Long Term Disability
  • Pre-partum, maternity, parental and medical leave
  • Critical Illness Insurance
  • Mental Health Wellness Program
  • Wellness Incentive Program
  • Retirement Savings Programs with company match
  • Paid Time Off
  • 14 Annual Holidays
  • Tuition Assistance
  • Employee Resource Groups


We offer competitive compensation with bonus opportunity tied to company performance, along with room to enhance your skills through ongoing learning and broad technological opportunities. Achieving work-life balance is a priority, complemented by team activities, fostering an environment rooted in equity, inclusion, and collaboration, that is reflected in both our culture and our work.

The expected compensation for this position ranges from $105000 to $130000 CAD annually, based on experience and qualifications

Be Passionate. Be Innovative. Be a Trender.

No sponsorship will be provided for work permit applications or renewals for this position now or in the future.

#LI-TL1

About Trend Micro

Trend Micro is a global cybersecurity company that develops software and services to protect against cyber threats. The company was founded in 1988 and is headquartered in Tokyo, Japan. Trend Micro's products and services include antivirus software, internet security software, and cloud security solutions. The company also provides threat intelligence and consulting services to help organizations improve their security posture. Trend Micro serves customers in a variety of industries, including government, healthcare, and financial services. The company has operations in more than 50 countries and is recognized as a leader in the cybersecurity industry.
Learn more about Trend Micro
Size
7,024 employees
Industry
NASDAQ

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