Publié hier
Software Engineer, ML Workload Platform
@ Cohere
Télétravail au Canada
En bref
Cohere is hiring a Software Engineer for its ML Workload Platform within Internal Infrastructure, building the systems that schedule and run model training, evaluation and reinforcement-learning jobs on Kubernetes. The work covers job lifecycle, networking, storage for checkpoints, and automation with on-call duties.
Responsabilités :
- Own the platform scheduling and running training, evaluation and RL jobs on Kubernetes
- Build networking and runtime isolation for workloads and agent sandboxes
- Work with data infrastructure on checkpoint and training artifact storage
- Troubleshoot production failures and performance problems
- Build automation, infrastructure-as-code and observability
Résumé des exigences :
- Run a job platform, batch system or Kubernetes controllers in production
- Distributed systems judgment: retries, partial failure
- Experience with ML training workflows, CNI or checkpoint storage at scale
- Written software in Python or Go
- Direct GPU-cluster experience is a plus
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-11-06
- Première détection par notre source
- 2026-11-06
- Mise à jour du dossier source
- 2026-11-06
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Congés payés généreux, Congé parental généreux, Régime de retraite, Mieux-être, Repas gratuits ou à rabais, Allocation de télétravail |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Cohere
Financement et investisseurs
Tour de financement annoncé: Série E
Investisseur nommé dans le tour: Schwarz Group, Bell Ventures, Bullhound Capital, Government of Canada, Inovia Capital, NVIDIA, Prosperity7 Ventures
Date de l’annonce: · Source vérifiée: 2026-11-02
Annonce de l’entrepriseProfil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Empowering enterprises with private, powerful AI.
Description complète de l’entreprise
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and optionality to deploy across all major cloud providers, private cloud environments, or on-premises. HQ: 171 John Street, 2nd Floor, Toronto, ON M5T 1X3
- Abonnés LinkedIn
- 236 684
- Personnes associées sur LinkedIn
- 907
- Bureaux déclarés
- 171 John St, 2nd Floor, Toronto, Ontario M5T 1X3, CA
- San Francisco, California, US
- London, GB
- New York, NY, US
- Paris, FR
- Montreal, CA
- Seoul , KR
- Catégories d’activité
- Foundational AI
- Artificial Intelligence
- Software
- Generative AI
- Natural Language Processing
- Artificial Intelligence (AI)
- Machine Learning
- Autres noms enregistrés
- Cohere
- Spécialités
- Natural Language Processing
- Machine Learning
- and Artificial Intelligence
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 1 713 655 555
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 201-500 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2019 |
| Spécialités | Natural Language ProcessingMachine Learningand Artificial Intelligence |
| Offres sur Jobsy | 81 |
| Voir la page |
Who are we?
Cohere 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.
We’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.
We 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.
We 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!
Why this team?
Internal Infrastructure builds the infrastructure and tools used to train, evaluate, and serve Cohere's foundation models. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work accelerates the models behind Cohere's platform, North.
You will build the platform that runs training, evaluation, and reinforcement-learning workloads: job lifecycle, scheduling, workload networking, and the storage those jobs depend on. The role includes a compensated 24x7 on-call rotation.
What you will do
Own the platform that schedules and runs training, evaluation, and reinforcement-learning jobs on Kubernetes: who gets capacity, what happens when a job fails, and how a researcher finds out whether the platform caused it.
Build the networking and runtime isolation those workloads need, including agent and sandbox environments.
Work with the data infrastructure team on storage for checkpoints and other training artifacts.
Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it.
Build automation, infrastructure-as-code, and observability so the platform stays maintainable.
We hire at more than one level. We set level based on the scope you've owned and how independently you drive work.
You may be a good fit if you have
Run a job platform, batch system, or Kubernetes controllers in production. Scheduling, queues, and multi-tenant fairness are central to this work.
Shown distributed systems judgment: retries, partial failure, and knowing what not to automate.
Worked on ML training workflows, RL sandboxes, container networking (CNI), or checkpoint storage at scale. Direct GPU-cluster experience is a plus.
Written software in Python or Go. You would rather extend a solid open-source project than rebuild it.
Worked with researchers, ML engineers, or another team whose goals were not identical to yours.
Found a bottleneck, proposed a fix, and driven it in a fast-moving environment.
If this does not line up exactly with your experience, we still encourage you to apply.
Full-Time Employees at Cohere enjoy these Perks:
A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
Full health and dental benefits, including a 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:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
6 weeks of paid vacation (30 working days!)
Budget for traveling to other offices if you are remote, plus an annual company offsite.
How and Where We Work:
Cohere 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.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We 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.
We 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.
Beware 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. If jobs are viewed on other sites then please verify these through our official careers page.
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