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Publié il y a 12 mois

Staff Research Engineer, Model Efficiency

@ Cohere

Toronto, ON · Montréal, QC

295k–535k $/anTélétravailTemps plein
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En bref

Cohere is hiring a Staff Research Engineer for its Model Efficiency team, to develop and deploy techniques that speed up and reduce the cost of running large language models in production. The work covers architecture and MoE routing, decoding algorithms, and GPU software/hardware co-design. The role is full-time, can be remote or office-based, and the team is concentrated in EST and PST time zones.

Salaire :

295 000 $–535 000 $ par année

Responsabilités :

  • Develop and prototype techniques that improve LLM inference speed
  • Deploy efficiency improvements into production models
  • Work across architecture, decoding, and GPU co-design
  • Optimize performance without compromising model quality

Résumé des exigences :

  • PhD in machine learning or related field
  • Understanding of LLM architecture and inference optimization
  • Significant experience with model efficiency techniques
  • Strong software engineering skills
  • Publications at ICLR, ACL, or NeurIPS
  • Passion to mentor others

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesRégime de retraiteCongés payésCongé parental
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2025-11-07
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-11-07

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Déplacementsavion : minimes · route : aucun
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationDoctorat (exigé)
Domaines d’étudesMachine Learning, Related field
Avantages mentionnésCongés 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’entreprise
Profil 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…

ChampValeur
SecteurSoftware Development
Taille201-500 employees
Siège socialToronto, Ontario
Type d’organisationPrivately Held
Fondée en2019
SpécialitésNatural Language ProcessingMachine Learningand Artificial Intelligence
Offres sur Jobsy81
LinkedInVoir la page
Description

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!

Role Overview:

Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including:

  • model architecture and MoE routing optimization

  • decoding and inference-time algorithm improvements

  • software/hardware co-design for GPU acceleration

  • performance optimization without compromising model quality

Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.

Key Responsibilities:

As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production.

Qualifications:

  • Have a PhD in Machine Learning or a related field

  • Understand LLM architecture, and how to optimize LLM inference given resource constraints

  • Have significant experience with one or more techniques that enhance model efficiency

  • Strong software engineering skills

  • An appetite to work in a fast-paced high-ambiguity start-up environment

  • Publications at top-tier conferences and venues (ICLR, ACL, NeurIPS)

  • Passion to mentor others

Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.

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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