Strider Technologies is looking to solve the problem of delivering strategic intelligence to organizations by leveraging cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights help organizations proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities.
Requirements
- 5+ years of software engineering experience
- Previous experience working in a data heavy role, preferably dealing with model deployment and inference workflows
- Understand how to use cloud infrastructure effectively
- Proficient at breaking down large, sometimes ambiguous, problems into well-defined tasks
- Python
- Rust
- Ray, vLLM, Flask, SageMaker
Responsibilities
- Develop large scale data processing pipelines
- Create data assets from unstructured data
- Scale batch and online inference
- Automate and optimize machine learning training workflows
- Enhance and expand our CI/CD processes
- Author design documents
- Participate in code reviews
Other
- Are a natural problem solver with an affinity for data
- Are opinionated about how software is built
- Value shipping code early and often
- Have a well-honed mental model for how software systems execute and interact
- Collaborate with a talented cross-functional team of engineers, data scientists and subject-matter experts
