Senior Machine Learning Engineer

Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national security-grade technology solutions to commercial customers around the world, Blackpoint Cyber is in hyper-growth mode, fueled by a recent $190m series C round. What You'll Do Blackpoint Cyber is a provider of leading-edge cybersecurity threat hunting, detection, and response technology. Blackpoint was founded by former National Security Agency (NSA) cyber operations experts that applied their expertise to bring nation/state grade technologies to commercial customers around the world. We are looking for an experienced ML Engineer who will operate in a technical lead role for the machine learning function of our A.I. business unit. Candidates will directly support Blackpoint's cyber security mission, helping to stop cyber-attacks, and protecting Blackpoint's rapidly growing customer base. Summary: As ML Engineer, you will be responsible for building out Blackpoint Cyber's machine learning solutions to support development of our A.I. products and features. You will report directly to the Head of Artificial Intelligence. Who You Are: Blackpoint Cyber is looking for someone who has: • 5+ years of experience in hands-on ML Engineering, with a track record of delivering A.I. products and services into production. • Experience building in the well-architected mindset—for efficiency, performance, security, and reliability. • Strong analytical and problem-solving abilities, with a focus on data-driven decision-making. • Excellent communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels. What You'll Bring: Experienced in: • Cloud-based ML Infrastructure (AWS) • Model Development & Deployment Operations (SageMaker, Airflow) • Inference Streams & Event-driven Processing (Kafka, Spark) • MLOps Workflows (Airflow, MLFlow, KubeFlow) • Pipeline Automation (A.I. CI/CD, Infrastructure as Code) • ML Governance (Data, Model, & Feature Versioning, Monitoring & Testing) • Containerized Services (Docker, Kubernetes) • Scripting Language (Python, Bash) • Query Language (SQL, Ksql) • GitFlow & DevOps Best Practices Nice to Have: • Transformer Neural Nets • Agile Scrum • Programming (Scala, Java) • Experience in Cybersecurity, IoT, or NLP fields How You'll Make an Impact: • Develop, optimize, and deploy ML models. • Design, build, and administrate model building and serving infrastructure. • Implement ML workflows as containerized Infrastructure as Code. • Build & automate standardized container pipelines for training, feature engineering, and inference channels. • Conduct performance, load, and deployment testing of delivered ML solutions. • Develop ML governance utilities for oversight and administration of deployed infrastructure. • Implement data, feature, and model lifecycle best practices. • Contribute to A.I. architecture and design decisions. • Collaborate closely with cross-functional teams, including Engineering, Blackpoint Cyber's Security Operations Center (SOC), and our Adversary Pursuit Group (APG)

Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national security-grade technology solutions to commercial customers around the world, Blackpoint Cyber is in hyper-growth mode, fueled by a recent $190m series C round.