Senior Machine Learning Engineer

Position Overview

• Location Type: Not Specified
• Job Type: Not Specified
• Salary: Aggressively competitive salary, bonus, and equity package

Andesite, backed by Red Cell Partners, is seeking a Senior Machine Learning Engineer to design, develop, and deploy agentic AI solutions. This role involves building and iterating on production agent architectures utilizing LLMs and RAG, developing complementary models, and managing the AI/ML infrastructure lifecycle. The ideal candidate will collaborate with a cross-functional team and stay current with the latest research in machine learning and cybersecurity.

About Andesite

Andesite is a cybersecurity company founded by experts with decades of experience defending national security networks. Their mission is to build security products that transform how humans and AI collaborate to defend against sophisticated cyber threats. They are a diverse team of cyber and security experts, technologists, and product builders, funded by investors like General Catalyst and Red Cell Partners.

About Red Cell Partners

Red Cell Partners is an incubation firm that builds and invests in rapidly scalable technology-led companies focused on healthcare, cyber, and national security. They are united by a shared sense of duty and a belief in innovation to address critical national problems.

Responsibilities

• Design, Develop, and Deploy Agentic AI: Build and iterate on production agent architecture involving LLMs, RAG, and context/memory management. Develop additional models to complement foundational models, potentially including fine-tuning. This involves understanding requirements, designing solutions, collaborating with data engineers, and deploying models.
• Develop and Manage AI/ML Infrastructure and Lifecycle: Build and maintain scalable AI/ML infrastructure for model deployment, monitoring, and optimization. Contribute to the full AI/ML lifecycle, implementing observability tools for reliable model performance and data-driven improvements.
• Collaborate within a Cross-Functional Team: Work with product managers, product developers, threat analysts, data scientists, and other engineers to translate business requirements into ML solutions.
• Keep Pace with Research: Stay updated on the latest research in machine learning, large language models, and cybersecurity, and implement new findings into core technology.

Requirements

• Passion for ensuring data quality, observability, and model performance through effective monitoring, validation, and data collection practices.
• Masters/PhD (or Bachelor’s with equivalent experience) in computer science, statistics, mathematics, or related field, or equivalent work experience.
• 5+ years of experience in software engineering, specifically building and delivering data science, machine learning, or data analytics solutions in products at scale.
• Proficient in one or more programming languages, such as Python, Java, or Scala.
• Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms and services, such as AWS, Azure, or GCP.

Preferred Qualifications

• Experience training and fine-tuning large-scale foundational models, such as LLMs, or developing other production-grade language models.
• Strong understanding of managing AI infrastructure and projects in a DevOps/MLOps setting.
• Familiarity with security concepts, tools, and solutions, such as threat detection, vulnerability scanning, encryption, or authentication.

What We Can Offer

• An aggressively competitive salary, bonus, and equity package.
• 100% employer paid, comprehensive benefits.