Machine Learning Systems Engineer - Remote

Overview

As a Machine Learning Systems Engineer at RelationalAI, you will contribute to building intelligent data systems through our cloud-native relational knowledge graph management system, focusing on large-scale language model applications and infrastructure.

In Short

• Work with the ScalarLM framework and team.
• Contribute to open source projects and improve performance.
• Develop distributed training algorithms for large language models.
• Implement high-performance inference engines.
• Collaborate with the open source community.
• Research techniques for self-improving AI agents.
• Optimize performance of advanced GPU architectures.
• 3+ years of experience in machine learning engineering or research required.
• Flexible working hours in a remote-first environment.
• Competitive salary and equity offered.

Requirements

• Proficiency in C/C++ and Python.
• Deep understanding of high-performance computing concepts.
• Experience with machine learning foundations and techniques.
• Commitment to open source development.
• Experience with large-scale distributed training frameworks.
• Familiarity with containerization and cluster management.
• Research skills and ability to implement techniques from ML research.
• 3+ years of relevant experience.
• Bonus for PhD or MS in relevant fields.
• Experience with MLOps and model deployment at scale.

Benefits

• Work from anywhere in the world.
• Comprehensive benefits coverage.
• Open PTO policy.
• Paid parental leave.
• Investment in learning and development.
• Regular team offsites and global events.
• A culture of transparency and knowledge-sharing.
• Competitive salary and equity for all employees.
• Support for mental health and well-being.
• Flexible working hours to promote work-life balance.