About this role
A Software Engineer, Machine Learning opening at Scopely in San Francisco, USA, working on a hybrid schedule. Filed under Data Science & AI, the job covers the usual ground for that area. The hybrid setup means some days on-site and some days working remotely. It suits someone working at junior who wants the next step. Day-to-day work draws on Python, Machine Learning, SQL. Pay is listed at USD 165,131 to 180,946 per year, which gives you the range before you apply. The employer's description below covers the requirements and the application steps.
Your Career Hunter matched this listing against the employer's careers page on Nov 8, 2026.
Job Overview
Job description provided by Scopely.
Build and maintain scalable infrastructure that deploys AI and machine learning models into Scopely's games.
Work side by side with machine learning scientists to turn research ideas into production engineering.
Create automation tools and workflows that speed up model evaluation and deployment.
Tune infrastructure performance so models run reliably at the scale of hit mobile titles.
Needs a master's in computer science, computer engineering or a close quantitative field.
At least one year of related experience as a developer, engineer intern, researcher or teaching assistant.
Hands-on grounding in Python, machine learning, generative AI, SQL, systems programming and cloud computing.
Based in San Francisco, with telecommuting elsewhere in the US allowed under company policy.
Pay band $165,131 to $180,946 a year; applications go to employment@scopely.com quoting req 00103420.
Original posting: https://scopely.com/careers