Who We Are:

Muniworth is an innovative SaaS startup dedicated to municipal financial forecasting, empowering local governments to optimize budgeting and strategic financial planning. We are currently building an advanced Machine Learning and AI team to develop internal tooling, enhance our web applications, and create customized solutions for our municipal clients. If you're passionate about leveraging machine learning to drive impactful real-world solutions, Muniworth is the ideal place for you.

Who You Are:

You're an experienced Machine Learning Engineer excited by the prospect of working closely with a talented ML and AI team, under the guidance of our brilliant Lead ML Engineer. You thrive in environments with varied, challenging projects ranging from classic supervised and unsupervised ML tasks to advanced NLP, LLM, and RAG implementations. You're highly proficient with ML frameworks and libraries and ML Ops tools, and love finding innovative ways to apply ML and AI in solving complex problems.

What You'll Do:

• Design, build, and deploy robust machine learning pipelines and model serving infrastructure, ensuring reliable ML workflows from training to production.
• Collaborate closely with our Lead ML Engineer and ML/AI team on projects spanning classical ML techniques, including feature engineering, dimensionality reduction, clustering, and classification, as well as NLP, Large Language Models, and RAG.
• Optimize model performance and scalability, leveraging your expertise in ML frameworks, model optimization, and distributed computing systems.
• Develop internal ML tools and customized AI-driven solutions for municipal clients, significantly influencing our product direction and company strategy through advanced analytics and predictive modelling.
• Own and manage specific ML-focused projects, balancing responsibilities between model maintenance, performance monitoring, and research into new ML approaches and techniques.

Requirements

What You Bring:

• 3+ years of industry experience in machine learning engineering.
• Proficiency using PyTorch/TensorFlow for implementing custom neural networks and training processes.
• Experience using transformer libraries (e.g. Hugging Face) for text classification.
• Experience utilizing traditional ML algorithms creatively to solve complex classification tasks.
• Experience using MLflow or similar for experiment tracking and model registry
• Familiarity using Docker for containerization and orchestration
• Familiarity using Apache airflow for pipeline automation
• Familiarity using Fast API/Flask for model serving APIs
• Familiarity with GitHub Actions for CI/CD
• Exposure to using Redis and Elasticsearch for caching and search
• A master's degree in computer science, mathematics, statistics, or a related field—or significant practical experience demonstrating equivalent expertise beyond an undergraduate level.
• Excellent problem-solving abilities and strong communication skills, with the capability to articulate complex technical concepts clearly.
• Enthusiasm for innovation, adaptability, and actively contributing to team objectives beyond traditional role boundaries

Benefits

Why Join Muniworth:

• Competitive salary and comprehensive health and dental benefits.
• Flexible working hours (40 hours/week), tailored to your preferred schedule.
• Collaborative, intellectually stimulating environment emphasizing mathematics, innovation, and technical excellence.
• Modern, welcoming office located centrally in downtown Victoria, BC—100% in-person role.
• Regular team-building events and optional social activities.
• Directly influence critical municipal financial infrastructure, making a tangible impact on communities and local governments.
• For an ideal candidate with exceptional experience, we are open to offering compensation beyond the listed salary range.

Hiring Process:

We're actively hiring and eager to onboard exceptional talent as soon as possible. If you're excited by the intersection of data engineering and machine learning, thrive in a dynamic startup environment, and are motivated by meaningful work that impacts municipal governance, we'd love to connect with you. Please include a link to your public GitHub repository!