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Member of Technical Staff, MLE
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Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises building AI systems to power magical experiences such as content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. Why This Role Is Different Role Work directly with enterprise customers on problems that push LLMs to their limits. You’ll rapidly understand customer domains, design custom LLM solutions, and deliver production‑ready models that solve high‑value, real‑world problems. Train and customize frontier models – not just use APIs. You’ll leverage Cohere’s full stack: CPT, post‑training, retrieval + agent integrations, model evaluations, and state‑of‑the‑art modeling techniques. Influence the capabilities of Cohere’s foundation models. Techniques, datasets, evaluations, and insights you develop for customers will directly shape the next generation of Cohere’s frontier models. Operate with an early‑startup level of ownership inside a frontier‑model company. This role combines the breadth of an early‑stage CTO with the infrastructure and scale of a deep‑learning lab. Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles combine application, research, customer‑facing engineering, and core‑model influence as directly as this one. What You’ll Do Technical Leadership & Solution Design Contribute to 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. Modeling, Customization & Foundations Contribution Build custom models using Cohere’s foundation model stack, CPT recipes, post‑training pipelines (including RLVR), and data assets. Develop state‑of‑the‑art 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. Customer‑Facing Technical Impact Work as part of Cohere’s customer‑facing MLE team to identify high‑value opportunities where LLMs can unlock transformative impact for our enterprise customers. You May Be a Good Fit If You Have Technical Foundations 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 & Leadership A broad view of the ML research landscape and a desire to push the state of the art. Mindset 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. Join Us.This is a pivotal moment in Cohere’s history. As an MTS in Applied ML, you will define not only what we build but how the world experiences AI. If you’re excited about building custom models, solving generational problems for global organizations, and shaping frontier‑model capabilities, we’d love to meet you.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply. We value and celebrate diversity and 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. Full‑Time Employees At Cohere Enjoy These Perks
