Overview 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.This role can be worked remotely from the above location.What You’ll DoDesign, prototype, and validate machine learning models for product features and internal toolsOwn the ML lifecycle from experimentation through production deployment and monitoringPartner with Data Engineering and Product Engineering to integrate models into batch and online systemsBuild and maintain shared feature pipelines, including documentation and versioningWrite production-ready code with testing, observability, and monitoringDesign experiments (A/B test, pre/post analysis) and interpret results to guide product and business decisionsImprove ML reliability through retraining workflows, drift detection, and root cause analysisDesign and build end-to-end pipelines for classification, ranking, embeddings, or generation tasksWhat You’ll Bring5+ years of experience in data science, applied ML,



or ML engineering rolesStrong foundation in supervised and unsupervised learning, statistical modeling, and experimentation techniquesExperience developing and shipping ML models in production (batch or real-time)Robust Python and SQL skills with experience working with structured and unstructured dataHands-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 stakeholdersYou’ll Stand Out If You HaveExperience working with agentic modelsFamiliarity with LLM orchestration frameworks (e.G., ADK, LangChain, Semantic Kernel, Haystack)A background in software engineering (e.G., system design, APIs, or distributed systems)Compensation At FreshBooks, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.The total compensation for this role ranges from CA$128,000 - CA$160,000 per year, which may include participation in our incentive programs. Additionally, this position offers an equity grant and immediate enrollment in FreshBooks' comprehensive benefits program.Note: This posting is reflective of an existing vacancy at FreshBooks.#J-18808-Ljbffr

📌 Senior Machine Learning Engineer - C$128,000 - C$160,000 A Year - Remote (Toronto)
🏢 FreshBooks
📍 Toronto