Senior Machine Learning Engineer, Blue J Legal
CA$140-180k
+ Stock options
More information about location
Machine learning-powered tax & legal analysis
Open for applications
Machine learning-powered tax & legal analysis
21-100 employees
Open for applications
CA$140-180k
+ Stock options
More information about location
21-100 employees
Company mission
To bring absolute clarity to the law, everywhere and on-demand.
Role
Who you are
- 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
What the job involves
- 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
- 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
Application process
- Chat with Dan, Talent Acquisition Manager
- Meet Soumali, Director of AI
- Technical exercises with our engineering team
- Coding
- System design
- Get to know our engineering leadership team
- Meet Ben, our CEO
Our take
Blue J Legal’s AI powered platform was created by a team of law professors and data scientists with the aim of helping fellow legal professionals gain a better understanding of individual cases, more quickly than if they researched an entire case themselves.
Having initially focused solely on legal cases, Blue J also now applies its predictive AI software to tax law – a tool which has become popular amongst tax attorneys and accountants, not just for its speed but for its junior-training applications.
While there’s been huge growth in the use of AI in the legal industry, its outcomes have not been without flaw. Blue J claims 90% accuracy for its predictive software; however, there have been some cases documented across the whole industry where AI was biased against minority demographics.
The key thing for Blue J Legal moving forward is the accuracy of its software. If the company can maintain the very highest standards and maintain its AI’s integrity, it could become not just financially successful, but socially impactful.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-24% employee growth in 12 months
Company
Company benefits
- Comprehensive health benefits
- Education budget for continued learning
- Generous paid time off
- Parental leave
- Social events
- Team-centric environment
- Employee stock options
- Healthy work-life balance
Company HQ
CityPlace, Toronto, ON
Leadership
Benjamin Alarie
(Co-Founder & CEO)Osler Chair in Business Law, Full Professor, tenured faculty member, and former Associate Dean (2011-2015) at the law school at the University of Toronto.
Brett Janssen
(Co-Founder & CTO)Former Senior IT Architect at Odecee and The Marlo Group, former SOA Solution Architect at IBM.
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