Published: Tue, 10 Jun 2025 00:50:49 GMT
Position: Senior Machine Learning Engineer
Company: Red Cell Partners
Location: Remote
Salary: $180,000 – $210,000
About Red Cell Partners:
Red Cell Partners is an incubation firm that specializes in building and investing in rapidly scalable technology-led companies in the healthcare, cyber, and national security industries. Our team is united by a shared sense of duty and a deep belief in the power of innovation to solve pressing problems.
About Andesite:
Andesite was founded by a team of cyber and security experts with decades of experience defending the nation’s most sensitive networks. Our mission is to develop security products that transform how humans and AI collaborate to defend against sophisticated cyber threats. We have raised over $38 million from investors such as General Catalyst and Red Cell Partners.
Job Description:
Andesite is seeking a Senior Machine Learning Engineer with a strong track record of delivering AI/ML products at scale. As a member of our diverse team, you will have the opportunity to work on cutting-edge technology and make a meaningful impact in the cybersecurity industry.
Responsibilities:
– Design, develop, and deploy agentic AI: You will be responsible for building and iterating on a production agent architecture involving LLMs, RAG, and context/memory management. This includes understanding requirements, designing solutions, collaborating with data engineers for necessary data, and deploying models into production.
– Develop and manage AI/ML infrastructure and lifecycle: You will build and maintain scalable and reliable AI/ML infrastructure to support model deployment, monitoring, and optimization. You will also contribute to the full AI/ML lifecycle, from development to production, while implementing observability tools to collect data and ensure reliable model performance.
– Collaborate within a cross-functional team: You will work closely with product managers, product developers, threat analysts, data scientists, and other engineers to understand business requirements and translate them into ML solutions.
– Keep pace with research: You will stay up-to-date with the latest research in machine learning, large language models, and cybersecurity and find ways to implement new findings into our core technology.
Qualifications:
– 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.
Bonus Qualifications:
– Experience training and fine-tuning large-scale foundational models, such as LLMs, or developing other production-grade language models, with a 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 Offer:
– Competitive salary, bonus, and equity package.
– 100% employer-paid comprehensive health insurance, including medical, dental, and vision for you and your family.
– Unlimited PTO, with your manager’s approval.
– Flexible work environment where you manage your workday.
– Remote-first environment, with occasional travel to collaborate with customers, your team, and teammates from across the company in person.
– 14 weeks of fully-paid parental leave.
– An inclusive and diverse work culture.
– Equal opportunity employer.
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! Apply link