Senior Machine Learning Engineer

Toronto

CA$102,979 - CA$132,402/yearly

Senior Level

Comprehensive health benefits

Generous paid time off

Parental leave

8+ years of hands-on experience in machine learning engineering, with a strong background in Python
Solid understanding of machine learning fundamentals, data structures, and algorithms, with experience deploying ML models into production environments
Hands-on experience with Retrieval-Augmented Generation (RAG) and agentic AI, such as implementing end-to-end pipelines and understanding core components
Proven experience leading technical projects or teams, ideally involving ML systems or data products
Strong communication skills, you can explain complex technical ideas clearly and collaborate effectively across teams
A growth mindset, you bring curiosity, rigor, and a desire to keep learning and improving both your craft and the systems you work on

As a Senior Machine Learning Engineer, you’ll help shape the next generation of intelligent features and systems that power our products
You’ll work closely with data scientists, and software engineers to design, build, and deploy scalable RAG solutions, from training models to developing production-ready pipelines for the domain of tax and legal research
This role is a great fit for someone who’s curious about data and eager to turn insights into real-world impact. You’ll also support other team members through mentorship, sharing what you know, and collaboration to grow our machine learning practice
Designing, developing, and deploying end-to-end machine learning systems from data processing and prompt engineering to model evaluation, and production deployment
Writing high-quality, well-tested ML code, while mentoring other engineers and data scientists to deliver impactful, production-ready solutions
Collaborating with data science and engineering to bring state-of-the-art ML techniques including deep learning, NLP, and generative AI into real-world tax applications
Sharing knowledge, reviewing code and experiments, and helping improve our ML engineering standards, tooling, and best practices
Staying on top of industry and technology trends, exploring new ideas and innovations to bring into your work

11-50

Toronto

CA$102,979 - CA$132,402/yearly

Senior Level

Comprehensive health benefits

Generous paid time off

Parental leave

8+ years of hands-on experience in machine learning engineering, with a strong background in Python
Solid understanding of machine learning fundamentals, data structures, and algorithms, with experience deploying ML models into production environments
Hands-on experience with Retrieval-Augmented Generation (RAG) and agentic AI, such as implementing end-to-end pipelines and understanding core components
Proven experience leading technical projects or teams, ideally involving ML systems or data products
Strong communication skills, you can explain complex technical ideas clearly and collaborate effectively across teams
A growth mindset, you bring curiosity, rigor, and a desire to keep learning and improving both your craft and the systems you work on

As a Senior Machine Learning Engineer, you’ll help shape the next generation of intelligent features and systems that power our products
You’ll work closely with data scientists, and software engineers to design, build, and deploy scalable RAG solutions, from training models to developing production-ready pipelines for the domain of tax and legal research
This role is a great fit for someone who’s curious about data and eager to turn insights into real-world impact. You’ll also support other team members through mentorship, sharing what you know, and collaboration to grow our machine learning practice
Designing, developing, and deploying end-to-end machine learning systems from data processing and prompt engineering to model evaluation, and production deployment
Writing high-quality, well-tested ML code, while mentoring other engineers and data scientists to deliver impactful, production-ready solutions
Collaborating with data science and engineering to bring state-of-the-art ML techniques including deep learning, NLP, and generative AI into real-world tax applications
Sharing knowledge, reviewing code and experiments, and helping improve our ML engineering standards, tooling, and best practices
Staying on top of industry and technology trends, exploring new ideas and innovations to bring into your work

11-50