Senior/Staff MLE

🕒 il y a 2 mois

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟠 Senior

🖥 Ingénieur Logiciel

🦅 Parrain de Visa H1B

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Cohere

Site WebLinkedInTous les Emplois

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. • 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. • Lead the design and delivery of custom LLM solutions for enterprise customers. • Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies. • Build custom models using Cohere’s foundation model stack, CPT recipes, post-training pipelines (including RLVR), and data assets. • Develop SOTA modeling techniques that directly enhance model performance for customer use-cases. • Contribute improvements back to the foundation-model stack — including new capabilities, tuning strategies, and evaluation frameworks. • Work closely with enterprise customers to identify high-value opportunities where LLMs can unlock transformative impact. • Provide technical leadership across discovery, scoping, modeling, deployment, agent workflows, and post-deployment iteration. • Establish evaluation frameworks and success metrics for custom modeling engagements. • Mentor engineers across distributed teams. • Drive clarity in ambiguous situations, build alignment, and raise engineering and modeling quality across the organization.

🎯 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 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. • Experience engaging directly with customers or stakeholders to design and deliver ML-powered solutions. • A track record of technical leadership at a team level. • 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!)