Exploring CoCo Challenges in ML Engineering Teams: Insights From the Semiconductor Industry
The integration of machine learning (ML) into complex software systems has increased challenges in collaboration and communication (CoCo) of the teams building these systems. ML engineering (MLE) teams often involve diverse roles, ML engineers, data scientists, software engineers, and domain experts, each bringing unique goals, experiences, and jargon. These interdisciplinary dynamics can make it challenging to deploy, reproduce, and maintain ML-enabled systems over the long term. Previous studies have uncovered several CoCo challenges and practices, but most have focused on software-centric companies, leaving limited empirical understanding of how these dynamics unfold in hardware-centri...
| Authors | A. Azamnouri, M. Haug, L. Woltmann et al. |
|---|---|
| Primary category | cs.SE |
| Published | 8 May 2026 |
| Last updated at source | 8 May 2026 |
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