Software Engineer, AI/ML, ML Infrastructure, Search Ads

About this kind of role

What a Software Engineer, AI/ML, ML Infrastructure, Search Ads usually does. The employer's own details are in the listing.

Typically does: Software Engineers specializing in Artificial Intelligence and Machine Learning build and maintain the infrastructure that supports AI and ML models. They focus on the engineering aspects of machine learning, ensuring models are scalable, reliable, and efficient. This often involves developing tools and pipelines for data processing, model training, and deployment. They also work on improving the performance and stability of existing machine learning systems.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (such as AWS, Google Cloud, or Azure), and familiarity with machine learning frameworks (TensorFlow, PyTorch) and database technologies are commonly required.

Good fit for: Individuals with a strong foundation in computer science and a passion for applying engineering principles to solve complex machine learning challenges often thrive in this role.