Member of Technical Staff, MLE

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 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.

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 to 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 (or the ability to learn) 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 UsThis 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 any of the above doesn’t line up exactly with your experience, we still encourage you to apply

We 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.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.