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Veröffentlichungsdatum: 30.08.2026
This role is for students who are excited about building the next generation of machine learning models and NLP products. Our SWE roles can cover creating datasets for machine learning, scaling the pods to serve our API, or even building out new security features on our platform. We don't distinguish much between interns and full-time employees, and you’ll have plenty of opportunities to push code to production. You'll have full autonomy and ownership over high-impact work, and will be backed by the support of an incredible team of leaders & mentors. Join us at a pivotal moment, shape what we build, and wear multiple hats!
Responsibilities
Ship delightful experiences for user-facing products, meticulously crafting code for browsers or server code; Build features for the API platform that directly impact users; Design and implement robust data pipelines (crawlers, storage, filters); Design and implement scalable services or infrastructure for machine learning development; Build internal tooling (CI/CD, dev utilities) to move faster together; Maintain and contribute to technical documentation, internal and external facing; Keep up with the cutting edge and adopt new technologies to improve performance and reliability across CohereRequirements
Currently enrolled in a post-secondary program; Available for a full-time 3-6 month internship, co-op, or research work termBenefits
Weekly lunch stipend of $75/£75 or equivalent in local currency; Full health and dental benefits including separate budget for mental health; RRSP matching, 401K, Pension Scheme; 100% Parental Leave top-up for up to 6 months for either parent; Annual enrichment benefits including arts & culture, fitness/wellness, quality time, workspace improvement credit, education & learning stipend; 6 weeks of paid vacation (30 working days); Budget for traveling to other offices if remote plus annual company offsite; Daily lunch program, snacks, and community events for those in office; Co-working benefit for those not near an office; $500 home office stipendSo bewerben Sie sich
Online bewerben: https://www.jobs.pl/de/oferta/100019397/aplikuj
JOBS.pl · https://www.jobs.pl/de/software-engineer-intern-winter-2027-oferta-100019397



















