Senior Multimodal AI Engineer - Remote US

Zekai; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Weekly lunch stipend

Health and dental benefits

RRSP / 401K matching

Parental Leave top-up

Education & learning stipend

6 weeks paid vacation

Travel allowance / annual company off‑

Home office stipend

Job summary

Cohere is seeking a talented senior ML engineer to design and optimize cutting-edge multimodal AI systems, integrating text, speech, and vision. You will experiment on our compute infrastructure, evaluate representations, and collaborate across world-class teams to push real-world impact.

Applicants should be proficient in Python and major DL frameworks (JAX, PyTorch, TensorFlow), with distributed training know-how and a passion for building scalable systems in a remote-friendly US-based role.

Qualifications

• Strong software engineering skills building robust, scalable systems.
• Proficient in Python and major deep learning frameworks (JAX, PyTorch, TensorFlow).
• Knowledge of distributed training for large-scale multimodal models.

Responsibilities

• Design and develop cutting-edge multimodal AI systems (text, speech, vision).
• Conduct research and experiments on compute infrastructure for multimodal models.
• Collaborate with world-class teams to advance model capabilities.

Skills

Python

JAX

PyTorch

TensorFlow

Multimodal models

Tools

CUDA

HuggingFace

Job description

Cohere is seeking a talented senior ML engineer to design and optimize cutting-edge multimodal AI systems, integrating text, speech, and vision. You will experiment on our compute infrastructure, evaluate representations, and collaborate across world-class teams to push real-world impact.

Applicants should be proficient in Python and major DL frameworks (JAX, PyTorch, TensorFlow), with distributed training know-how and a passion for building scalable systems in a remote-friendly US-based role.