Machine Learning Systems Engineer
RelationalAISan Francisco, California, United States • New York, United States •
Posted October 17, 2025
Full Time
About the Company
RelationalAI, headquartered in Berkeley, California, is a pioneering company specializing in relational knowledge graph coprocessors for data clouds. Their technology enables organizations to model business operations as comprehensive digital representations, enhancing decision-making through advanced AI techniques like graph analytics and prescriptive analytics. Led by a globally distributed team of experts, RelationalAI offers cloud-native solutions that integrate seamlessly with existing security frameworks, making it a distinctive player in the industry.
Job Description
RelationalAI is building the future of intelligent data systems with its cloud-native relational knowledge graph management system, ScalarLM. They are a remote-first, globally distributed team with a focus on scaling LLM training and inference. This Machine Learning Systems Engineer role involves contributing to the open-source project, developing training algorithms, and building large-scale applications on top of ScalarLM.
Requirements
- Proficiency in both C/C++ and Python
- Solid understanding of gradient descent and backpropagation algorithms
- Experience with transformer architectures and model parallelism
- Experience with Docker, Kubernetes, and cluster management
- Experience with data parallel training techniques
- PhD or MS in Computer Science, Computer Engineering, Machine Learning, or related field
Benefits
- Competitive salary
- Equity
- Comprehensive benefits coverage, including global mental health support
- PTO
- Company Holidays, Regional Holidays, and RAI Holidays
- Paid parental leave
- Learning & development opportunities
- Team offsites and global events
- Transparency & knowledge-sharing
- Country Hiring Guidelines
