Blue J is the leading generative AI solution for tax professionals and one of Canada's fastest-growing AI companies. Headquartered in Toronto, we’re a high-growth B2B SaaS company building industry-leading tax research software that helps accountants find accurate answers to complex tax questions with greater speed and confidence. Backed by a $122M USD Series D funding round, we’re scaling rapidly across North America and the UK while continuing to push the boundaries of what’s possible with AI.

By combining advanced technology with deep tax expertise, we empower tax professionals to work more efficiently, make better decisions, and deliver greater value to their clients. We’re now looking for a skilled Senior Machine Learning Engineer who thrives in a fast-paced environment and is passionate about shaping the future of AI-assisted tax research. Your work will directly advance our product and AI capabilities, keeping our technology at the leading edge.

Our Data

Science and AI team is made up of curious, creative people who love solving tough problems. Much of our work focuses on Generative AI, where we design and optimize retrieval-augmented generation (RAG) pipelines that bring intelligence and precision to complex domains like tax and legal analysis. Whether it’s improving model performance, enhancing retrieval quality, or applying the latest research in large language models, we’re always looking for opportunities to make our AI better.

We care deeply about both quality and speed. Strong engineering practices help us move quickly and confidently, and we do. Our models and data pipelines are updated and deployed regularly, allowing us to learn fast and continuously improve.

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 outstanding 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 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 ~ Languages & Frameworks: Python / TypeScript / Node.js ML & Data Tools: PyTorch / TensorFlow / scikit-learn / LangChain / Hugging Face / Proprietary and Open Source LLMs/ Agents SDK/ADK Data Infrastructure: Apache Kafka / PostgreSQL / Pinecone / Elasticsearch MLOps & DevOps: Kubernetes / AWS / Docker / DataDog / MLflow We’re well-funded and offer competitive base salaries and stock options. You’ll play a crucial role in our growth, and it’s important to us that you share in our long-term success.

We’ve got all the start-up perks you’d expect, and are intentionally building a culture where you can pickleball if you want, feel safe to be yourself at work, and watch your career grow because your team has invested in you. We are customer-focused Chat with Dan, Talent Acquisition Manager Meet Soumali, Director of AI Technical exercises with our engineering team: coding and system design We believe our strength is built on diversity of thought, and encourage candidates from all backgrounds and experiences to apply. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

📌 Machine Learning Engineer- Cloud Deployment (Remote) (Toronto)
🏢 Blue J
📍 Toronto