What are the responsibilities and job description for the Founding Machine Learning Engineer position at Greylock Partners?
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 LLM's 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
Model Training Responsibilities:
- 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
Please note:
There are no fees associated with any of the support we provide our investments. Greylock Talent provides free candidate referrals/introductions to all of our active investments (one of the many services we provide).
Due to the volume of applicants we typically receive, a follow-up email will not be sent unless a match is identified.