Senior/Staff MLE

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🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🖥 Software Engineer

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Cohere

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• 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 state-of-the-art modeling techniques to enhance model performance for customer use cases • Contribute improvements to the foundation-model stack, including capabilities, tuning strategies, and evaluation frameworks • Work with enterprise customers to identify high-value opportunities for LLMs • 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

🎯 Requirements

• Strong machine learning fundamentals and ability to frame complex, ambiguous problems as ML solutions • Fluency with Python and core ML/LLM frameworks • Experience with large-scale datasets and distributed training or inference pipelines • Understanding of LLM architectures, tuning techniques including CPT and 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 • Track record of technical leadership at a team level • Broad view of the ML research landscape and desire to push the state of the art • Bias toward action, high ownership, and comfort with ambiguity • Humility and strong collaboration instincts • Deep conviction that AI should meaningfully empower people and organizations

🏖️ Benefits

• Weekly lunch stipend of $75/£75 or equivalent in local currency • Full health and dental benefits • Separate mental health budget • RRSP matching • 401K • Pension Scheme • 100% parental leave top-up for up to 6 months for either parent • Annual arts and culture benefits • Annual fitness and wellness benefits • Annual quality time benefit • Workspace improvement credit • Education and learning stipend for conferences, courses, and coaching • 6 weeks of paid vacation (30 working days) • Budget for traveling to other offices if remote • Annual company offsite • Co-working benefit for those not near an office • $500 home office stipend • Daily lunch program, snacks, and community and social events for those in the office