AI Synthetic Data Engineer

Position: AI Synthetic Data Engineer - Cohere
Enhance language models at Cohere as an AI Synthetic Data Engineer. Your specialized skill set in managing synthetic data pipelines will facilitate critical advancements in natural language processing.

In this senior position, you'll oversee the end-to-end management of synthetic data, focusing on data quality through analysis and experimental methodologies. Bridging research and engineering, you'll transform diverse datasets into valuable resources for AI models, ensuring efficiency and quality in model training. Collaboration with cross-functional teams will be central to delivering innovative solutions.

Key Responsibilities:

• Manage the synthetic data pipeline and improve model efficiency

• Analyze data quality through ablations and performance experiments

• Build scalable pipelines operating on large GPU clusters

• Implement innovative methods for synthetic data curation

• Collaborate with researchers and engineers on project goals

Requirements:

• Strong software engineering experience in Python

• Passion for solving complex data challenges in AI

• Familiarity with LLM inference frameworks like TensorRT

• Experience with Apache Beam, web data, and multilingual datasets

• A record of academic contributions to top-tier venues a plus

Utilize your engineering expertise to support Cohere's mission in AI language understanding through effective synthetic data management.
#J-18808-Ljbffr