Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Fresh Books, 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.

NOTE: This role can be worked remotely from the above location.

• 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

• 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, Big Query, 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

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

At Fresh Books, 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 annual compensation for this role ranges from CA $128,000 to CA $160,000, which may include participation in our incentive programs. Additionally, this position offers an equity grant and immediate enrollment in Fresh Books' comprehensive benefits program, detailed below.

• 🩺 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, and more.
• 📚 Perks that matter. Including a Peer Recognition Program, an Employee Assistance Program, headphone credit, meaningful in‑person gatherings to bring onsite and remote employees together, and more perks matched to your local cluster.
• 🌱 Working environments to help you thrive. Beautiful office spaces welcome you in Toronto, Amsterdam, and San Luis Potosí. If you don't have access to a Fresh Books office, you receive a home office credit to set up your home office.
• 🤗 Supportive peer group, mentors, and leaders. We care about each other across the organization and have programs to support this so everyone feels a strong sense of belonging, and believes in collective impact.
• 🚀 Accelerated…