Member of Technical Staff, Senior/Staff MLE

## About the Role As a Member of Technical Staff, Senior/Staff MLE at Cohere, you will be working directly with enterprise customers to design and deliver custom large language model (LLM) solutions. This role is uniquely positioned at the intersection of technical leadership, solution design, and customer-facing engineering. You will be responsible for leading the design and delivery of custom LLM solutions, translating ambiguous business problems into well-framed ML problems, and working closely with customers to identify high-value opportunities.

The team at Cohere is passionate about their craft, and each person is one of the best in the world at what they do. As a member of this team, you will have the opportunity to contribute to increasing the capabilities of Cohere's models and the value they drive for customers. You will be working with a diverse range of perspectives, which is a requirement for building great products.

The day-to-day responsibilities of this role will include working with customers to understand their domains, designing custom LLM solutions, and delivering production-ready models. You will also be responsible for training and customizing frontier models, leveraging Cohere's full stack, and influencing the capabilities of Cohere's foundation models.

## What You Will Do - 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, 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 - 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 and drive clarity in ambiguous situations - Build alignment and raise engineering and modeling quality across the organization

## What We Are Looking For - 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, 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 top tech company or research institution - Ability to work in a fast-paced environment and prioritize multiple tasks and projects

## Nice to Have - Experience with CPT, post-training, and retrieval + agent integrations - Familiarity with model evaluations, SOTA modeling techniques, and data assets - Knowledge of LLMs, semantic search, RAG, and agents - Experience working in a remote or distributed team environment

## Benefits and Perks - Competitive salary and equity package - Opportunity to work with a diverse range of perspectives and contribute to increasing the capabilities of Cohere's models - Collaborative and dynamic work environment with a team of passionate professionals - Flexible working hours and remote work options - Professional development opportunities and access to cutting-edge technologies - Comprehensive health and wellness benefits - Generous PTO and paid holidays

- Be prepared to provide examples of your experience working with large language models and your ability to frame complex problems as ML solutions.

• Showcase your technical leadership skills and experience working with customers to design and deliver custom ML-powered solutions.
• Highlight your understanding of LLM architectures, tuning techniques, and evaluation methodologies.
• Be prepared to discuss your experience working in a fast-paced environment and prioritizing multiple tasks and projects.
• Showcase your ability to work in a remote or distributed team environment and prioritize multiple tasks and projects.
• Be prepared to discuss your experience with state-of-the-art modeling techniques and your ability to develop new capabilities, tuning strategies, and evaluation frameworks.