Software Engineer, Systems Machine Learning

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About this kind of role

What a Software Engineer, Systems Machine Learning usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and tests machine learning systems and software solutions, often focusing on scalability and reliability. This role involves building and deploying machine learning models into production environments, integrating them with existing systems, and monitoring their performance. Responsibilities may include feature engineering, model optimization, and collaborating with data scientists and other engineers. A key focus is ensuring the efficient and robust operation of machine learning infrastructure.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms (AWS, Azure, GCP), and familiarity with DevOps practices are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for applying machine learning techniques to solve complex problems thrive in this role.