{"id":3732926,"url":"https://alion.io/job/kinaxis-intern-aiml-researcher","title":"Intern AI&ML Researcher","company":{"id":58060,"name":"Kinaxis","domain":"kinaxis.com","url":"https://alion.io/company/kinaxis","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"TensorBoard","optional":true}],"status":"live","first_seen_at":"2026-11-04T08:56:16Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-09T01:32:14Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Kinaxis\nAre you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!\nIn 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.\nKinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.\nAbout the team\nOur AI and Advanced Mathematical Modeling team explores how machine learning can advance supply chain planning. We conduct applied research and translate promising ideas into practical capabilities that help Maestro users solve complex business problems.\nWe are looking for a master's or PhD student to join our team as an AI/ML Research Intern. You will investigate challenging research questions in areas such as time-series modeling and generative AI, work closely with experienced researchers and engineers, and evaluate how emerging methods can create value in real-world supply chain applications.\nLocation\nYou should be located in Eastern time zone. If in Ottawa or Toronto, you must work from the office at least three days a week.Other Canada Eastern time zone Locations - REMOTE\nTerm Duration\nThis is a full-time, 8 or 12-month position, starting January 2027.\nIntern Eligibility\nThis position is open to interns. To be eligible for an Intern position at Kinaxis, you must either be currently enrolled in full-time education or, if you are a recent/upcoming graduate, your graduation date must be within 12 months of the placement end date.\nVacancy Status\nThis is an existing job vacancy.\nWhat you will do\nConduct applied research in machine learning, with a focus on time-series forecasting and generative AI for supply chain planning\nReview relevant literature, identify promising methods, and formulate research questions and hypotheses\nDesign and run reproducible experiments using real-world and benchmark datasets\nDevelop and evaluate models against strong baselines using appropriate quantitative and qualitative metrics\nAnalyze results, limitations, robustness, and practical trade-offs, and communicate findings clearly to technical and non-technical audiences\nBuild research prototypes and collaborate with researchers, data scientists, engineers, and domain experts to assess their product potential\nContribute to new product ideas, technical reports, demonstrations, publications, and patent applications, where appropriate\nWork with a dedicated mentor who will provide research guidance and support throughout the internship\nWhat we are looking for\nYou are enrolled in or recently graduated from a master's or PhD program in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related field\nYou have a strong foundation in machine learning, statistics, and experimental methodology\nYou have hands-on AI/ML research experience through graduate research, publications, thesis work, research internships, or substantial projects\nYou are proficient in Python and experienced with modern machine learning frameworks\nYou can translate an open-ended problem into testable hypotheses, well-designed experiments, and clearly supported conclusions\nYou are curious about new research, comfortable working with ambiguity, and motivated to apply ML to real-world problems\nYou communicate technical ideas clearly and enjoy collaborating across research, engineering, and business domains\nNice to have\nResearch experience in time-series forecasting, probabilistic forecasting, and time-series foundation models including PFNs\nExperience with generative AI, including large language models, retrieval-augmented generation, and agents\nKnowledge of statistical inference, uncertainty quantification, and causal inference\nExperience evaluating foundation models, including fine-tuning, adaptation, benchmarking, and error analysis\nA record of research communication through publications, preprints, or technical reports\nSome technologies you'll use\nDocker for reproducible ML research environments\nPython and scientific computing libraries\nPyTorch and deep learning frameworks for GPU-accelerated training and experimentation\nExperiment tracking, Tensorboard, version control, and cloud-based compute\n#Coop, #Internship, #Intern, #LI-EN1\nWork With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.\nWork with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.\nSocial Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.\nPeople matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:\nFlexible vacation and Kinaxis Days (company-wide days off)\nFlexible work options\nPhysical and mental well-being programs\nRegularly scheduled virtual fitness classes\nMentorship programs, training, and career development\nRecognition programs and referral rewards\nHackathons\nFor more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.\nKinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at . This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.\nKinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.","description_format":"text","description_chars":7691,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Logistics","Supply Chain & Logistics Software"],"lifecycle":[{"event":"open","at":"2026-11-04T08:56:16Z"}],"visa":[{"country":"CA","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Positions approved through LMIA in 12 months: 4","filings_12m":4,"filings_prev_12m":1,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"High Wage; Global Talent Stream","cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["ESDC: employers issued a positive LMIA"],"filings_for_role_12m":1}],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.604,"p_room":0.45,"age_days":3,"expected_fill_days":2,"reasons":["conf:0","velocity","win:tail","comp:junior"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/kinaxis-intern-aiml-researcher","json_url":"https://alion.io/job/kinaxis-intern-aiml-researcher.json","meta":{"generated_at":"2026-11-09T03:10:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1046,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58060},"rest":"https://alion.io/mcp/rest/get_company?id=58060"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkinaxis-intern-aiml-researcher"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkinaxis-intern-aiml-researcher"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkinaxis-intern-aiml-researcher"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/kinaxis-intern-aiml-researcher\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkinaxis-intern-aiml-researcher"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3732926}},{"tool":"search_jobs","arguments":{"company":"kinaxis.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3732926},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}