Job Details

Member Of Technical Staff, Applied ML

This is not a typical "Applied Scientist" or "ML Engineer" role. As a Member of Technical Staff, Applied ML, you will:

1. 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.

2. 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 SOTA modeling techniques.

3. 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.

4. 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.

5. Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineering, and core-model influence as directly as this one.

What You'll Do

Technical Leadership & Solution Design

• 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.

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 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.

Team Mentorship & Organizational Impact

• Mentor engineers across distributed teams.

• Drive clarity in ambiguous situations, build alignment, and raise engineering and modeling quality across the organization.

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

• 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.

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.