AI Infrastructure Engineer Intern — Training & Inference

SpreeAI

San Francisco (CA)

On-site

USD 30,000 - 50,000

Full time

14 days+

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Benefits offered by this job

Real impact and ownership over projects

Exposure to industry leaders and advisors

Creative freedom in a high-growth environment

Job summary

A leading AI fashion-tech company is seeking a Software Engineer Intern to focus on building infrastructure for AI systems. This role involves designing scalable models, developing APIs, and optimizing for performance and reliability. An ideal candidate will have a strong background in programming and experience with distributed systems. Join a high-growth startup to make an immediate impact on the future of fashion technology.

Qualifications

Degree in Computer Science, Engineering, or comparable experience.
Strong object-oriented programming skills (Python, C++, Java, Go).
Strong data structures and algorithms foundations.
Experience building production backend or distributed systems.
Understanding of cloud infrastructure and containerized systems.

Responsibilities

Design and build scalable infrastructure supporting training and inference workflows.
Develop high-performance APIs and backend services for AI model serving.
Optimize GPU utilization, latency, and throughput for multimodal workloads.
Improve observability, monitoring, and reliability of AI systems.
Partner with Applied Science teams to productionize research systems.