Harness your expertise in synthetic data as a Senior Machine Learning Engineer at Cohere. This remote-friendly role focuses on developing pipelines for advanced AI language models.

Cohere, a pioneer in security-first enterprise AI, is seeking a Senior Machine Learning Engineer who specializes in synthetic data to enhance our advanced language models. You will oversee the management and optimization of synthetic data pipelines, crucial for improving model performance. This role spans working with diverse datasets and applying generative models to uplift token efficiency.

Key Responsibilities:
• Design scalable inference pipelines for GPU clusters
• Conduct data ablations to improve data quality




• Research cutting-edge synthetic data curation techniques
• Collaborate with cross-functional teams for pipeline optimization

Requirements:
• Proficient in Python and data pipeline construction
• Familiarity with data processing frameworks like Apache Spark
• Experience with LLMs, including inference frameworks
• Handle large-scale datasets, including multilingual data
• Passionate about integrating research with engineering

Make an impactful contribution to Cohere’s mission in AI.
#J-18808-Ljbffr

📌 Senior Machine Learning Engineer at Cohere (Quebec City)
🏢 Cohere
📍 Quebec City