Senior Machine Learning Engineer

Overview Join to apply for the Senior Machine Learning Engineer role at Blue J Blue J’s ambition is to be the world leader in generative AI for tax experts. Our AI tax research software is widely regarded as the best in the market. We are racing ahead with an exciting product development roadmap to continue to delight our customers and to ensure that our users can generate the very best possible tax research answers in the service of their clients in record time. Our company is at the forefront of applying artificial intelligence to tax research. We recently announced our $122M USD Series D raise , to accelerate innovation and deliver even greater value to tax professionals. Since launching our flagship generative AI product, we have blown past our revenue targets quarter over quarter. 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. About The Team 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. We share knowledge through lunch‑and‑learns, collaborative brainstorms, and tight partnership with Product and Engineering to turn ideas into measurable impact. Location 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. 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 the domain of tax and legal research. This role is a great 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. What You'll Be Doing 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. What You Offer Us 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. Technologies You Can Expect to Work With Languages & Frameworks: Python / TypeScript / Node.js ML & Data Tools: PyTorch / TensorFlow / scikit‑learn / LangChain / Hugging Face / Proprietary and Open Source LLMs / Agents SDK / ADK About Us We’re well‑funded and offer competitive base salaries and stock options. We are taking an exciting, highly anticipated new product into a virtually untapped market. We have great leadership and a mission‑driven culture. We provide a healthy work/life balance, generous benefits, and a supportive, inclusive environment. Core Values Customer‑focused. Team‑first mindset. Open to better ideas. Playful and pleasant. Committed to solving tough problems. Interview Process We’re expecting strong interest in this role and are looking forward to growing our team A human will review every application and we’ll get back to all candidates within 10 days of submission. Interview stages include: Chat with Deb, Director of Talent Acquisition. Meet Soumali, Director of AI. Technical exercises with our engineering team (Coding & System design). Get to know our engineering leadership team. Equal Opportunity 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 in your application. Our team is dedicated to providing the necessary support and making reasonable adjustments to ensure a smooth process for everyone. #J-18808-Ljbffr