Computer Science Co-op
2 weeks ago
**Who We Are**:
**Who You Are**:
You're a curious, motivated Computer Science student with exposure to ML algorithms and concepts and ideally experienced in data science or cloud platforms. You're eager to join a collaborative team where you'll have significant opportunities to contribute meaningfully. Confident yet eager to learn, you're excited to take on responsibilities and grow alongside experienced developers.
**What You'll Do**:
- Support the design, build, and deployment of machine learning pipelines and model serving infrastructure, contributing to reliable ML workflows from training to production.
- Write clean, maintainable code following software engineering best practices - while this is a co-op role, you should be motivated to create readable, well-structured solutions that support collaborative development.
- Work closely with our Lead ML Engineer and ML/AI team on projects spanning classical ML techniques as well as natural language processing (NLP), large language models (LLMs), and retrieval augmented generation (RAG).
- Assist in optimizing model performance and scalability, building hands-on experience with ML frameworks, model optimization, and cloud computing platforms.
- Contribute to internal ML tools and customized AI-driven solutions for municipal clients, gaining insight into how advanced analytics and stakeholder requirements influence product direction and development strategy.
- Take on specific AI-focused projects with mentorship and guidance, gaining experience across development, maintenance, performance monitoring, and exploration of new ML approaches and techniques.
**Requirements**:
**What You Bring**:
- Enrollment in a Computer Science program (or related discipline) with completed coursework in ML and AI fundamentals.
- Some practical experience in data science, including implementing ML, NLP, or LLM-based solutions using libraries and tools such as PyTorch, TensorFlow, or Hugging Face
- Ability to critically think about ML and AI problems, including evaluating model performance and identifying potential biases or limitations.
- Strong interpersonal and communication skills, essential for thriving in a collaborative team environment.
- Willingness to commit to a minimum 8-month term, with potential to extend up to one year.
- Experience working with cloud-based ML platforms such as Azure AI Foundry is a plus
**Benefits**
**Why Join Muniworth**:
- Flexible work schedule (40 hours/week).
- Dedicated 1-on-1 mentorship and substantial professional development opportunities.
- Integrated and supportive team culture emphasizing learning, collaboration, and innovation.
- Modern, vibrant office centrally located in downtown Victoria, BC—100% in-person role.
- Frequent social events and team-building activities (optional).
- Opportunity to directly impact the success of local governments and communities through meaningful projects.
**Hiring Process**:
We're actively recruiting for a January start date. If you're excited by the possibility of substantial professional growth, ready to contribute meaningfully, and eager to join a team passionate about machine learning and artificial intelligence, we’d love to hear from you
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