{"id":723848,"url":"https://alion.io/job/trybree-machine-learning-engineering-intern","title":"Machine Learning Engineering, Intern","company":{"id":669317,"name":"Bree","domain":"trybree.com","url":"https://alion.io/company/trybree","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":68,"open_postings":13,"ghost_share":0.538,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":50,"max":70,"currency":"CAD","period":"hour","gross":null,"usd_annual":100000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LightGBM","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-15T16:07:13Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-29T16:55:02Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":105},"description":"About Bree\nBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.\nMore than 800,000 Canadians have already signed up with Bree and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.\nAbout the Role\nWe’re looking for a Machine Learning Engineering Intern to work alongside our ML, data, and infrastructure teams. You’ll contribute to real modelling and data problems, learn how production ML systems are evaluated and monitored, and use AI tools thoughtfully to move from experimentation to reliable implementation.\nThis is an8-month co-op term.\nAt Bree, co-ops are full members of the Engineering team. You’ll work on the same customer and business problems as full-time engineers, ship real production work, and take part in design discussions, code reviews, testing, and releases. We pair that responsibility with close mentorship, clear context, and projects scoped for you to make a meaningful impact from day one.\nWhat You'll Do\nHelp prepare, explore, and validate data used in models and analytical workflows.\n\nSupport training and evaluation of models used for areas such as credit risk, fraud detection, and customer experience.\n\nBuild scripts, tools, and tests that make experimentation and model evaluation more repeatable.\n\nLearn how model performance is monitored in production, including data quality, drift, and operational reliability.\n\nExplore new approaches with mentorship, then clearly document results, tradeoffs, and next steps.\n\nWhat You'll Need\nCurrently enrolled in a Computer Science, Statistics, Engineering, Data Science, or related post-secondary programme, and available for the full 8-month term.\n\nStrong Python foundations, plus experience working with data through coursework or projects. Familiarity with SQL, pandas, or similar tools is helpful.\n\nFoundational knowledge of statistics and machine learning concepts, with coursework, research, personal projects, or competitions you can discuss.\n\nInterest in tools such as PyTorch, LightGBM, or modern LLM workflows. Production ML experience is not required.\n\nCuriosity, rigour, and strong communication. 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