Machine Learning Engineer - Synthetic Data

Position: Machine Learning Engineer - Synthetic Data at Cohere
Drive advancements in AI with Cohere as a Machine Learning Engineer specializing in synthetic data. Your expertise will be vital in managing and optimizing the synthetic data pipeline for cutting-edge language models.

This senior role focuses on end-to-end synthetic data management, including data generation, analysis, and model evaluation. Your responsibilities encompass optimizing the synthetic data pipeline, improving model throughput and efficiency, and collaborating with teams of researchers and engineers. Contributing directly to the efficacy of language models will position you as a key player in the organization's mission.

Key Responsibilities:

• Develop and manage synthetic data pipelines for language models

• Conduct data ablations to analyze and enhance data quality

• Collaborate with cross-functional teams on data pipeline demands

• Design scalable inference pipelines for large GPU clusters

• Research innovative synthetic data curation methods

Requirements:

• Proficiency in Python with software engineering expertise

• Experience with LLMs and data processing frameworks

• Familiarity with Apache Spark, Pandas, or similar tools

• Background in managing large-scale datasets

• Passion for bridging research and engineering in AI

Make a meaningful impact in AI data management with your skills in machine learning and data synthesis at Cohere.
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