Senior Machine Learning Engineer Job at FreshBooks (Toronto)

Senior Machine Learning Engineer

FreshBooks

Location:
Canada , Toronto ▼
Halifax
Calgary
Vancouver
Kitchener
Waterloo
Hamilton
Truro

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

128000.00 - 160000.00 CAD / Year

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Job Description:

As a Senior Machine Learning Engineer at FreshBooks, you will own the full machine learning lifecycle, from early experimentation and prototyping to deployment and monitoring in production. You will work on moderately complex problems, refine ML processes, and support teammates through mentorship and collaboration. You will help deliver ML-powered features while optimizing systems for reliability, performance, and rapid experimentation. This role is primarily focused on machine learning, with supporting software engineering skills to enable production deployment. This role is ideal for someone who enjoys taking ideas from concept to customer impact.

Job Responsibility:

Design, prototype, and validate machine learning models for product features and internal tools
Own the ML lifecycle from experimentation through production deployment and monitoring
Partner with Data Engineering and Product Engineering to integrate models into batch and online systems
Build and maintain shared feature pipelines, including documentation and versioning
Write production-ready code with testing, observability, and monitoring
Design experiments (A/B test, pre/post analysis) and interpret results to guide product and business decisions
Improve ML reliability through retraining workflows, drift detection, and root cause analysis
Design and build end-to-end pipelines for classification, ranking, embeddings, or generation tasks

Requirements:

5+ years of experience in data science, applied ML, or ML engineering roles
Strong foundation in supervised and unsupervised learning, statistical modeling, and experimentation techniques
Experience developing and shipping ML models in production (batch or real-time)
Strong Python and SQL skills with experience working with structured and unstructured data
Hands-on experience building and deploying ML or LLM-based systems (e.g. retrieval-augmented generation, embeddings, prompt tuning)
Familiarity with cloud infrastructure and ML tools, ideally on Google Cloud Platform (e.g. Vertex AI, BigQuery, Cloud Composer, Kubernetes)
Experience working with CI/CD pipelines, containerization (Docker), and job orchestration tools (Airflow, dbt, etc.)
Strong communication skills and ability to explain technical concepts to non-technical stakeholders

Nice to have:

Experience working with agentic models
Familiarity with LLM orchestration frameworks (e.g., ADK, LangChain, Semantic Kernel, Haystack)
A background in software engineering (e.g., system design, APIs, or distributed systems)

What we offer:

Comprehensive health and wellness benefits
Generous time off including a flexible vacation plan
A retirement savings program or pension plan matched to your local office
Stock options for every full-time employee
Parental leave and new parent support
Annual healthy living credit
Comprehensive medical and dental benefits
Fertility and gender-affirming benefits dependent on your region
Peer Recognition Program
Employee Assistance Program
Headphone credit
Meaningful in-person gatherings to bring onsite and remote employees together
Home office credit to set up your home office
Supportive peer group, mentors, and leaders
Comprehensive company onboarding
Career development through continuous coaching, training, and learning on the job

Additional Information:

Job Posted:
February 19, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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