{"id":162776,"url":"https://alion.io/job/blue-j-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":58217,"name":"Blue J","domain":"bluej.com","url":"https://alion.io/company/blue-j","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":161000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Google ADK","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-03-04T17:02:29Z","employer_posted_date":"2026-07-07","last_verified_at":"2026-10-17T05:16:17Z","board_verified":true,"closed_at":null,"days_open":226,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":226},"description":"About Blue J\nBlue 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.\nBacked 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.\nWe'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.\nAbout The Team\nOur 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.\nWe 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.\nWe share knowledge through lunch-and-learns, collaborative brainstorms, and tight partnership with Product and Engineering to turn ideas into measurable impact.\nA Note on Location\nWe are excited to meet with qualified candidates and are grateful for everyone’s interest, however 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.\nAbout the Role\nAs 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.\nThis 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.\nWhat You'll be Doing\nDesigning, developing, and deploying end-to-end machine learning systems from data processing and prompt engineering to model evaluation, and production deployment\nWriting high-quality, well-tested ML code, while mentoring other engineers and data scientists to deliver impactful, production-ready solutions\nCollaborating 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\nSharing knowledge, reviewing code and experiments, and helping improve our ML engineering standards, tooling, and best practices\nStaying on top of industry and technology trends, exploring new ideas and innovations to bring into your work\nWhat You Offer Us\n8+ years of hands-on experience in machine learning engineering, with a strong background in Python\nSolid understanding of machine learning fundamentals, data structures, and algorithms, with experience deploying ML models into production environments\nHands-on experience with Retrieval-Augmented Generation (RAG) and agentic AI, such as implementing end-to-end pipelines and understanding core components\nProven experience leading technical projects or teams, ideally involving ML systems or data products\nStrong communication skills, you can explain complex technical ideas clearly and collaborate effectively across teams\nA growth mindset, you bring curiosity, rigor, and a desire to keep learning and improving both your craft and the systems you work on\nTechnologies You Can Expect to Work With\nLanguages & Frameworks: Python / TypeScript / Node.js\nML & Data Tools: PyTorch / TensorFlow / scikit-learn / LangChain / Hugging Face / Proprietary and Open Source LLMs/ Agents SDK/ADK\nData Infrastructure: Apache Kafka / PostgreSQL / Pinecone / Elasticsearch\nMLOps & DevOps: Kubernetes / AWS / Docker / DataDog / MLflow\nA Bit About Us\nWe’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. \nWe are taking an exciting, highly anticipated new product into a virtually untapped market at a time when there is a huge amount of buzz around the type of work that we do. You’ll have the opportunity to work at our growing organization, and play a meaningful role in our expansion.\nWe've got great leadership and you'll get to work with and learn from team leaders with a proven track record of success in the technology industry.\nWe’ve got an amazing team. We’re mission-driven and motivated by success, but we’re friendly, we’re collaborative, and we care about each other. 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.\nWe care about you. You’ll have a healthy work/life balance and colleagues who respect it. We’ve mindfully put together a great benefits package that covers you and your whole family. \nThe Core Values That Define Our Culture\nWe are customer-focused\nWe put the team interest before self-interest\nWe are pleasant and playful\nWe are open to better ideas\nWe deliver on our promises\nWe solve the tough problems\nWhat to Expect in the Interview Process\nWe’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. Thanks for your patience, we look forward to connecting!\nInterview Process\nChat with Dan, Talent Acquisition Manager\nMeet Soumali, Director of AI\nTechnical exercises with our engineering teamCoding\nSystem design\n\nGet to know our engineering leadership team\nMeet Ben, our CEO\nWe 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.\nWe 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. 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