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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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