We are looking for a Senior Machine Learning Engineer.
You'll play a pivotal role in helping us mitigate some of the most sophisticated security threats on the Internet. You'll help us identify network and application layer attacks and mitigate these threats for our customers around the world. You will help us protect millions of people.
In this role you will be:
Modeling, designing, implementing, production, and operating machine learning models, including Large Language Models, and pipelines at scale.
Applying analytical and math/statistics skills to understand the data, to ensure model results are coherent and reliable.
Solving complex real-world business problems by working closely with various stakeholders including data scientists, and product managers.
Providing high-quality support to all researchers in the lab and our user community.
Collaborating work in multiple project team environments.
Presenting project proposals or results to stakeholders.
You'll play a pivotal role in helping us mitigate some of the most sophisticated security threats on the Internet. You'll help us identify network and application layer attacks and mitigate these threats for our customers around the world. You will help us protect millions of people.
In this role you will be:
Modeling, designing, implementing, production, and operating machine learning models, including Large Language Models, and pipelines at scale.
Applying analytical and math/statistics skills to understand the data, to ensure model results are coherent and reliable.
Solving complex real-world business problems by working closely with various stakeholders including data scientists, and product managers.
Providing high-quality support to all researchers in the lab and our user community.
Collaborating work in multiple project team environments.
Presenting project proposals or results to stakeholders.
Requirements:
4+ years of experience with ML, DL, large language model inference and fine-tuning techniques, vector DB, and RAG.
Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring.
Experience with Software engineering fundamentals, including coding, testing, continuous integration, and continuous delivery/continuous deployment (CI/CD) and deployment.
Experience in writing robust API interfaces with design principles applied in languages including Python and Scala.
Experience in using SQL/NoSQL databases, distributed data processing, event messaging, containers, and ML automation.
Be fluent in written and spoken English.
Experience with Google Cloud (or other public cloud).
4+ years of experience with ML, DL, large language model inference and fine-tuning techniques, vector DB, and RAG.
Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring.
Experience with Software engineering fundamentals, including coding, testing, continuous integration, and continuous delivery/continuous deployment (CI/CD) and deployment.
Experience in writing robust API interfaces with design principles applied in languages including Python and Scala.
Experience in using SQL/NoSQL databases, distributed data processing, event messaging, containers, and ML automation.
Be fluent in written and spoken English.
Experience with Google Cloud (or other public cloud).
This position is open to all candidates.
