{"id":2460850,"url":"https://alion.io/job/waterworth-computer-science-co-op","title":"Computer Science Co-op","company":{"id":9012,"name":"Waterworth","domain":"waterworth.com","url":"https://alion.io/company/waterworth","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Finance","role_family":"Finance","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Victoria, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":102000,"period":"year","method":"role_country_seniority_unknown","sample_n":955},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-13T17:20:31Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-21T01:38:11Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Who We Are:\nMuniworth is an innovative SaaS startup dedicated to municipal financial forecasting, empowering local governments to optimize budgeting and strategic financial planning. We are currently building a machine learning (ML) 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 Natural Language Processing (NLP), ML, and AI to drive impactful real-world solutions, Muniworth offers a perfect learning environment.\nWho You Are:\nYou're a curious, motivated Computer Science student with exposure to NLP, ML, and AI concepts. You value writing robust, type-safe code, and you're interested in modelling real-world domains precisely. 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.\nWhat You'll Do:\nSupport the design, build, and deployment of data processing pipelines and infrastructure by leveraging NLP, ML, LLMs and AI.\nWrite type-safe, 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.\nWork closely with our Lead Engineer and ML/AI team on projects leveraging classical ML techniques as well as NLP, LLMs, and retrieval augmented generation (RAG).\nAssist in optimizing model performance and scalability, building hands-on experience with AI frameworks, model optimization, and cloud computing platforms.\nContribute to customized AI-driven solutions for municipal clients, gaining insight into how advanced analytics and stakeholder requirements influence product direction and development strategy.\nTake on specific AI-focused projects with mentorship and guidance, gaining experience across development, maintenance, performance monitoring, and exploration of new AI approaches and techniques.\nRequirements\nWhat You Bring:\nEnrollment in a Computer Science program (or related discipline) with completed coursework in ML and AI fundamentals.\nSome practical experience in data science, including implementing ML, NLP, or LLM-based solutions using libraries and tools such as PyTorch, TensorFlow, or Hugging Face.\nAbility to critically think about ML or AI problems, including evaluating performance and identifying potential biases or limitations.\nStrong interpersonal and communication skills, essential for thriving in a collaborative team environment.\nWillingness to commit to a minimum 8-month term, with potential to extend up to one year.\nExperience working with cloud-based AI platforms such as Azure AI Foundry is a plus\nBenefits\nWhy Join Muniworth:\nFlexible work schedule (40 hours/week).\nDedicated 1-on-1 mentorship and substantial professional development opportunities.\nIntegrated and supportive team culture emphasizing learning, collaboration, and innovation.\nModern, vibrant office centrally located in downtown Victoria, BC-100% in-person role.\nFrequent social events and team-building activities (optional).\nOpportunity to directly impact the success of local governments and communities through meaningful projects.\nHiring Process:\nWe're actively recruiting for a January start date. 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