{"id":285756,"url":"https://alion.io/job/cohere-machine-learning-internco-op-winter-2027","title":"Machine Learning Intern/Co-op (Winter 2027)","company":{"id":270,"name":"Cohere","domain":"cohere.com","url":"https://alion.io/company/cohere","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":61,"ghost_share":0,"stale_share":0.41,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","GB","CA"],"hiring_countries_total":3,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLIR","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"TensorFlow","optional":false},{"name":"TPU","optional":false},{"name":"Transformers","optional":false},{"name":"XLA","optional":false}],"status":"live","first_seen_at":"2026-05-13T17:16:14Z","employer_posted_date":"2026-05-13","last_verified_at":"2026-10-30T03:37:22Z","board_verified":true,"closed_at":null,"days_open":169,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":169},"description":"Who are we?\nCohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\nWhy this role?\nShip state of the art models to production.\nDesign and implement novel research ideas.\nBuild elegant training/deployment pipelines.\nJoin us at a pivotal moment, shape what we build and wear multiple hats as an intern!\nOur recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage\nPlease Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term.\nAs a Machine Learning Intern, you will:\nDesign, train and improve upon cutting-edge models.\n\nHelp us develop new techniques to train and serve models safer, better, and faster.\n\nTrain extremely large-scale models on massive datasets.\n\nExplore continual and active learning strategies for streaming data.\n\nLearn from experienced senior machine learning technical staff.\n\nWork closely with product teams to develop solutions.\n\nYou may be a good fit if you have:\nProficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.\n\nExperience using large-scale distributed training strategies.\n\nFamiliarity with autoregressive sequence models, such as Transformers.\n\nStrong communication and problem-solving skills.\n\nA demonstrated passion for applied NLP models and products.\n\nBonus: experience writing kernels for GPUs using CUDA.\n\nBonus: experience training on TPUs.\n\nBonus: papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).\n\nFull-Time Employees at Cohere enjoy these Perks:\nA weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\n\nFull health and dental benefits, including a separate budget for mental health.\n\nRRSP matching, 401K, Pension Scheme.\n\n100% Parental Leave top-up for up to 6 months, for either parent.\n\nAnnual enrichment benefits:\nArts & culture, fitness/wellness, quality time, and a workspace improvement credit.\nEducation & learning stipend for conferences, courses, and coaching.\n\n6 weeks of paid vacation (30 working days!)\n\nBudget for traveling to other offices if you are remote, plus an annual company offsite.\n\nHow and Where We Work:\nCohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.\n\nFor those in the office: a daily lunch program, plenty of snacks, and regular community and social events.\n\nFor those not near an office: a co-working benefit so you can work alongside others in your city.\n\nEveryone receives a $500 home office stipend to set up your workspace properly.\n\nIf any of the above doesn’t line up exactly with your experience, we still encourage you to apply.\nWe strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.\nWe may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.\nBeware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. 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