Kumo is reinventing how enterprises extract value from their massive data investments by addressing the limitations of traditional ML approaches, which are slow, complex, and yield disappointing results. They aim to provide a platform that allows data scientists to unlock insights 12x faster with superior accuracy using Graph Neural Networks and a Predictive Query Language.
Requirements
- 5+ years of software development experience
- Deep understanding of distributed systems design principles
- Proficiency in languages like Python, Java or C++
- Experience with cloud distributed storage, databases, and file systems (AWS, Azure)
- Track record building and scaling microservices architectures
- Knowledge of ML frameworks like PyTorch or TensorFlow, especially inference serving at scale
- Experience designing systems that elegantly handle failure modes and restarts
Responsibilities
- Design and implement the core architecture of our distributed training and inference systems that can handle enterprise-scale data
- Craft elegant integration points between data warehouses, ML processing engines, and our proprietary Graph Neural Network technology
- Build sophisticated orchestration systems that optimize computational resources while ensuring reliability and restartability
- Develop clean APIs and abstractions that decouple system components for rapid parallel development
- Create scalable, cloud-native infrastructure that grows with our customers' needs while maintaining performance
- Collaborate directly with customers to refine and iterate on real-world deployments
Other
- BS required, MS/PhD preferred
- Problem-solving mindset with ability to tackle novel challenges in uncharted territory
- Contributions to open-source projects in distributed systems or data processing
- Understanding of ML fundamentals, especially in enterprise applications
- We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
