Machine Learning Engineer

About Us: Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.

About Andesite: Cybersecurity analysts are drowning in an increasingly data-dense security environment. Teams are overburdened, and the industry faces a dire talent shortage threatening the resilience of both government and commercial organizations. Andesite is building the next generation cybersecurity analyst experience. Our mission is to supercharge the analysts protecting our country’s networks. When analysts work in our advanced AI security analytics platform, they can analyze decentralized data sets at scale and respond to threats more quickly. We have deep experience with this problem, with a team born out of the security community from diverse backgrounds including the CIA, NSA, military, big tech, and startups. After raising a $15M seed round from top-tier investors General Catalyst and Red Cell Partners, we are rapidly scaling. We believe that having the right teammates in Andesite Nation will be the reason we win.

Position: Machine Learning Engineer
Location: Remote, US

About the Role:

• Develop and Manage AI/ML Infrastructure and Lifecycle: Build and maintain scalable and reliable AI/ML infrastructure to support model deployment, monitoring, and optimization. Contribute to the full AI/ML lifecycle—from development to production— while implementing observability tools to ensure models perform reliably.
• Design, Develop, and Deploy Models: Focus on integrating and deploying foundational generative AI models, such as large language models (LLMs), alongside developing complementary models. Responsibilities include requirements understanding, solution design, collaborating with data engineers, and deploying models into production.
• Collaborate within a Cross-Functional Team: Work closely with product managers, product developers, threat analysts, data scientists, and engineers to translate business requirements into ML solutions.
• Keep Pace with Research: Stay updated with the latest research in machine learning, large language models, and cybersecurity, and implement new findings into our technology.

What You Have:

• A passion for ensuring data quality, observability, and model performance through effective monitoring, validation, and data collection practices.
• Educational background: Masters/PhD (or Bachelor’s with equivalent experience) in computer science, statistics, mathematics, or related field, or equivalent work experience.
• 2+ years of experience in data science, machine learning, or data analytics.
• Proficiency in one or more programming languages, such as Python, R, or Scala.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms/services (e.g., AWS, Azure, GCP).
• Bonus Points: Experience training and fine-tuning large-scale foundational models, understanding AI infrastructure management in a DevOps/MLOps setting, and familiarity with security concepts and tools.

What We Offer:

• Top-of-market competitive salary, bonus, and equity package.
• 100% employer-paid comprehensive health insurance (medical, dental, and vision) for you and your family.
• Unlimited PTO with manager's approval.
• Flexible work environment where you manage your workday and a remote-first culture with occasional travel.
• Home office reimbursement and 14 weeks of fully-paid parental leave.
• Salary Range: $165,000-$215,000, representing the typical salary range for this position based on experience, skills, and other factors.

Andesite is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. We encourage candidates from all backgrounds to apply, even if you don't feel like you're a perfect fit. If you're passionate about contributing to our mission, we'd love to hear from you!

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.