Software Engineer, Applied ML (Discovery, Recommendation & Search)

About this kind of role

What a Software Engineer, Applied ML (Discovery, Recommendation & Search) usually does. The employer's own details are in the listing.

Typically does: Software Engineers in this area design, develop, test, and deploy software solutions that incorporate machine learning models. They work on improving existing systems or building new ones to enhance discovery, recommendation, and search functionalities. This often involves collaborating with data scientists and other engineers to integrate machine learning into production systems. They also monitor and maintain these systems, ensuring optimal performance and scalability.

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

Good fit for: Individuals with a strong foundation in computer science and a passion for applying machine learning to solve real-world problems often thrive in this role.