Staff Software Engineer, Inference Platform
Job Description
About this kind of role
What a Staff Software Engineer, Inference Platform usually does. The employer's own details are in the listing.
Typically does: Designs, develops, tests, and maintains software components for an inference platform, which is used to deploy and serve machine learning models. This often involves optimizing model performance, ensuring scalability, and integrating with various data sources and downstream systems. Responsibilities can also include monitoring platform health, troubleshooting issues, and collaborating with data scientists and other engineers. A focus on reliability, efficiency, and automation is common.
Tools and skills: Proficiency in programming languages like Python or Java, experience with cloud platforms (e.g., AWS, Azure, Google Cloud), familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), and knowledge of DevOps practices are generally required.
Good fit for: Individuals with a strong software engineering background and an interest in machine learning and distributed systems often thrive in this role.
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Secondary School Teachers, Except Special and Career/Technical Education: 1.1 million people in the US, paid from $48,780 a year (the lowest 10%) to $107,600 (the top 10%), with $72,040 in the middle, in May 2025. See these jobs →
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