Senior MTS, Applied ML for Enterprise LLMs

Visa Hunt; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Lunch stipend

Health benefits

Pension plan

Parental leave

Learning stipend

Vacation days

Office allowance

Job summary

Cohere is seeking an experienced Member of Technical Staff, Applied ML, to lead design and delivery of custom LLM solutions for enterprise customers. You will translate business problems into ML problems with clear success criteria and drive evaluation methodologies.

You will build models using Cohere’s foundation stack, CPT recipes, and post-training pipelines, contributing to frontier-model capabilities and working closely with customers to deliver measurable impact.

Qualifications

• 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.

Responsibilities

• 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 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.
• Provide technical leadership across discovery, scoping, modeling, deployment, agent workflows, and post-deployment iteration.
• Mentor engineers across distributed teams and raise engineering and modeling quality.

Skills

Strong ML fundamentals

Python

Distributed training

LLM architectures

Customer-facing leadership

Large-scale datasets

Tools

CPT recipes

Post-training pipelines

RLVR

Job description

Cohere is seeking an experienced Member of Technical Staff, Applied ML, to lead design and delivery of custom LLM solutions for enterprise customers. You will translate business problems into ML problems with clear success criteria and drive evaluation methodologies.

You will build models using Cohere’s foundation stack, CPT recipes, and post-training pipelines, contributing to frontier-model capabilities and working closely with customers to deliver measurable impact.