ML Platform Engineer, Backend

Job Overview

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers, the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.

Key Responsibilities

• Build the model serving platform, including API, Control Plane, Billing, Monitoring, and distributed inference features.


• Collaborate with ML researchers to integrate new multimodal models into production workflows.


• Write reliable, maintainable code with strong testing and documentation practices.


• Provide operational support for keeping our production services highly performant, available, and reliable.


• Help troubleshoot complex issues across runtime, service, and GPU layers, working closely with other engineers.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).


• 3+ years of software engineering experience, with a focus on infrastructure or machine learning systems.


• Strong proficiency in C++/Python/Go/Rust.


• Experience with Kubernetes, Containerization.


• Experience in building large-scale ML/MLOps infrastructure.


• Strong collaboration and communication skills, with the ability to work effectively across engineering and ML teams.


• Comfortable working from the office and contributing to a fast-moving, high-ownership team culture.

Nice-to-Have Skills

• Experience with ML systems engineering, open source inference engine like vLLM, Sglang, or TRT-LLM.


• Proficiency in CUDA or ROCm and experience with GPU profiling tools.


• Contributions to open-source ML or HPC infrastructure.

Benefits

Medical, dental, and vision insurance
401k plan
Daily lunch, snacks, and beverages
Flexible time off
Competitive salary and equity
Equal opportunity employer