Early-stage, cybersecurity investment (valued over $100M at Seed), founded by a successful serial entrepreneur, is looking to hire a Founding MLE with a strong background standing up training/inference pipelines in the cloud (GCP/AWS), good MLOps familiarity, and full end to end ownership.
Summary
Help architect the core ML pipelines and codebase for an industry first solution in security. Our ideal candidate will be able to take research grade ML experiments and ensure they can be run in a stable and repeatable manner in the enterprise.
Key Qualifications
- Advanced degree in CS (or a related field) with 4+ years industry experience and 1+ years working with LLMs in a large scale production environment
- Prior experience with a zero to one
- Proven ability to collaborate across different teams and adapt to new fields
- Design and train machine learning models from scratch, developing and testing new architectures on large, complex datasets
- Build and optimize end to end training pipelines, including data preprocessing, distributed training, and experiment tracking
- Tune and evaluate model performance through systematic experimentation, hyperparameter optimization, and metric analysis
- Collaborate with data and infrastructure teams to manage compute resources, ensure reproducibility, and prepare models for deployment