Senior Machine Learning Engineer

About the Role

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 tax and legal research.

This role is a great fit for someone who is 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

• 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

• Languages & Frameworks: Python / Type Script / Node.js
• ML & Data Tools: PyTorch / Tensor Flow / scikit‑learn / Lang Chain / Hugging Face / Proprietary and Open Source LLMs / Agents SDK / ADK
• Data Infrastructure: Apache Kafka / PostgreSQL / Pinecone / Elasticsearch
• MLOps & Dev Ops: Kubernetes / AWS / Docker / Data Dog / MLflow

This is a hybrid position that requires applicants to be within driving distance of Toronto for 1–2 in‑person meetings a quarter. All candidates must be eligible to work in Canada.

We’re well‑funded and offer competitive base salaries and stock options. You’ll play a crucial role in our growth, benefit ting from a comprehensive benefits package that covers you and your whole family.

We believe our strength is built on diversity of thought, and encourage candidates from all backgrounds and experiences to apply. We value inclusiveness and are an equal opportunity employer. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We strive to create an inclusive and accessible hiring experience for all candidates.

If you need any accommodations during the interview process, please let us know.