Founding Machine Learning Engineer

About the role

We are seeking a Founding Machine Learning Engineer to join an early-stage cybersecurity investment, valued at over $100 million at Seed. This role involves building and managing training and inference pipelines in cloud environments (GCP/AWS) and requires familiarity with MLOps practices. You will play a crucial part in developing a pioneering security solution.

Key facts

What you'll do

• Architect and implement the foundational machine learning pipelines and codebase for a groundbreaking security solution.
• Transform research-grade machine learning experiments into reliable and repeatable processes suitable for enterprise deployment.

Requirements

• An advanced degree in Computer Science or a related discipline, with a minimum of 4 years of industry experience, including at least 1 year working with large language models in a production setting.
• Experience in developing projects from inception to completion.
• Demonstrated capability to work collaboratively across various teams and adapt to new domains.

Nice to have

• Experience in the cybersecurity field.
• Familiarity with additional cloud platforms beyond GCP and AWS.

Skills & tools

• Proficiency in designing and training machine learning models from the ground up.
• Experience with large and complex datasets, including data preprocessing and distributed training.
• Skills in performance tuning and evaluation of models through systematic experimentation and hyperparameter optimization.
• Ability to work closely with data and infrastructure teams to manage compute resources and ensure model reproducibility for deployment.

Practical notes

• Greylock Talent offers complimentary candidate referrals and introductions to our active investments, with no associated fees.
• Due to the high volume of applications, we will only reach out if there is a match with your profile.