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Senior Machine Learning Engineer
Blue J
Canada$140k–180kRemote3mo ago
- Employment
- Full-time
- Seniority
- Senior
About the role
About Blue J
About The Team
A Note on Location
About the Role
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
- Data Infrastructure: Apache Kafka / PostgreSQL / Pinecone / Elasticsearch
- MLOps & DevOps: Kubernetes / AWS / Docker / DataDog / MLflow
A Bit About Us
- 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 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.
- We'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.
- We’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.
- We 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.
The Core Values That Define Our Culture
- We are customer-focused
- We put the team interest before self-interest
- We are pleasant and playful
- We are open to better ideas
- We deliver on our promises
- We solve the tough problems
What to Expect in the Interview Process
Interview 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
Compensation
Perks & benefits
- Equity Compensation
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