ML Infrastructure Engineer: Scale AI Models
scopelySacramento (CA)
ML Infrastructure Engineer: Scale AI Models
Posted today
scopelySacramento (CA)
SENIORITY
Lead
About the role
Scopely is seeking a Software Engineer, Machine Learning to help build and scale ML infrastructure for deploying AI models in Explore. You will work closely with ML scientists to integrate models into products and optimize inference latency to enhance user experiences.
You will develop automation for model evaluation and deployment, implement robust monitoring, and participate in code reviews, design discussions, and architecture planning with cross-functional teams.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.