Member of Technical Staff, Machine Learning Engineer

🕒 il y a 2 mois

🏄 California – Distant

info

⏰ Temps Plein

🔴 Expert

🖥 Ingénieur Logiciel

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Cohere

11 - 50 employés

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere est une plateforme d’IA de premier plan qui fournit aux entreprises des modèles de langage avancés et un espace de travail (workspace) intégré conçu pour l’efficacité et la sécurité. Grâce à une famille de modèles génératifs et de retrieval hautes performances, Cohere permet aux organisations de rationaliser leurs workflows, de renforcer la sécurité des données et de révéler des insights dans de nombreux secteurs grâce à des capacités multilingues. Leur priorité accordée à des solutions d’IA sur mesure garantit la protection des données critiques tout en facilitant une intégration fluide aux processus opérationnels existants.

Description

• Work directly with enterprise customers on problems that push LLMs to their limits. • Rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models. • Train and customize frontier models — not just use APIs. • Influence the capabilities of Cohere’s foundation models. • Operate with an early-startup level of ownership inside a frontier-model company. • Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes.

🎯 Exigences

• Strong ML fundamentals and the ability to frame complex, ambiguous problems as ML solutions. • Fluency with Python and core ML/LLM frameworks. • Experience working with (or the ability to learn) large-scale datasets and distributed training or inference pipelines. • Understanding of LLM architectures, tuning techniques (CPT, post-training), and evaluation methodologies. • Demonstrated ability to meaningfully shape LLM performance. • A broad view of the ML research landscape and a desire to push the state of the art. • Bias toward action, high ownership, and comfort with ambiguity. • Humility and strong collaboration instincts. • A deep conviction that AI should meaningfully empower people and organizations.

🏖️ Avantages

• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • 6 weeks of vacation (30 working days!)

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