Machine Learning Engineer, Synthetic Data at Cohere

Setup: Remote, Hybrid
Location: Toronto, Ontario
Type: Full-time
Posted: Nov 26, 2025

Description

Cohere is seeking a Machine Learning Engineer specializing in synthetic data to develop and optimize their synthetic data pipeline for advanced language models. The role involves end-to-end management of synthetic data, including maintenance, analysis, generation, and evaluation, working with diverse web and code data to improve model quality and token efficiency. This position bridges research and engineering, directly impacting critical training metrics and contributing to Cohere’s mission of advancing natural language processing.

Required Skills

Python
Data Pipelines
Apache Spark
Apache Beam
Pandas
LLMs
vLLM
TensorRT
Large-scale Datasets
Natural Language Processing

Additional Information

Preferred Qualifications: Strong software engineering skills, with proficiency in Python and experience building data pipelines.
Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
Experience working with LLMs through work projects, open-source contributions or personal experimentation.
Familiarity with LLM inference frameworks such as vLLM and TensorRT.
Experience working with large-scale datasets, including web data, code data, and multilingual corpora.
A passion for bridging research and engineering to solve complex data-related challenges in AI model training.

About Cohere

Cohere

AIToronto

Cohere builds powerful models and AI solutions that enable enterprises to automate processes, empower employees, and turn fragmented data into actionable insights. Its products include generative language models, speech recognition, machine translation, document parsing, and tools for advanced search and multilingual capabilities.