ML Systems Engineer — GenAI, Multi-Agent & MLOps

Sciforium; San Francisco (CA); On-site; USD 195,000 - 235,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401k Plan

Lunch provided

Flexible time off

Salary and equity

Job summary

Sciforium is an AI infrastructure company building next-generation multimodal AI models and a high-efficiency serving platform. We seek an ML Engineer who operates at the intersection of production software engineering and Core AI/ML to architect, scale, and optimize end-to-end multimodal GenAI systems.

You will design architectures that integrate LLMs, retrieval, memory, tools, and feedback loops, and contribute to open-source projects while driving performance and reliability across delivering

Qualifications

• 5+ years of professional ML/AI software engineering experience.
• BS, MS, or PhD in CS/CE (or equivalent practical experience).
• Experience with distributed ML training frameworks and inference engines.

Responsibilities

• Architect, scale, and optimize end-to-end multimodal GenAI systems.
• Build production-grade solutions across Serving, Post-Training and Agentic frameworks.
• Drive ML optimizations and MLOps improvements.

Skills

LLMs

Transformers

Reinforcement Learning

Agentic patterns

Multi-Agent orchestration

Education

BS/MS/PhD in CS/CE

Equivalent practical experience

Tools

PyTorch

TensorFlow

JAX

Job description

Sciforium is an AI infrastructure company building next-generation multimodal AI models and a high-efficiency serving platform. We seek an ML Engineer who operates at the intersection of production software engineering and Core AI/ML to architect, scale, and optimize end-to-end multimodal GenAI systems.

You will design architectures that integrate LLMs, retrieval, memory, tools, and feedback loops, and contribute to open-source projects while driving performance and reliability across delivering