Senior/Staff MLE

🕒 vor 3 Monaten

🏄 California – Remote

🏄 California – Remote

⏰ Vollzeit

🟠 Senior

🖥 Softwareentwickler

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Cohere

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11 - 50 Mitarbeiter

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere ist eine führende KI-Plattform, die Unternehmen fortschrittliche Sprachmodelle und einen integrierten Arbeitsbereich bietet, der auf Effizienz und Sicherheit ausgelegt ist. Mit einer Reihe von leistungsstarken generativen und Retrieval-Modellen ermöglicht Cohere Organisationen die Optimierung von Arbeitsabläufen, die Verbesserung der Datensicherheit und das Erschließen von Erkenntnissen über verschiedene Branchen hinweg durch mehrsprachige Fähigkeiten. Ihr Fokus auf maßgeschneiderte KI-Lösungen gewährleistet den Schutz kritischer Daten und erleichtert die nahtlose Integration in bestehende organisatorische Prozesse.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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!)