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.

EXPERIENCED IN:

• Cloud-based ML Infrastructure (AWS)
• Model Development & Deployment OperaJons (SageMaker, Airflow)
• Inference Streams & Event-driven Processing (KaZa, Spark)
• MLOps Workflows (Airflow, MLFlow, KubeFlow)
• Pipeline AutomaJon (A.I. CI/CD, Infrastructure as Code)
• ML Governance (Data, Model, & Feature Versioning, Monitoring & TesJng)
• Containerized Services (Docker, Kubernetes)
• Scripting Language (Python, Bash)
• Query Language (SQL, Ksql)
• GitFlow & DevOps Best Practices

Please refer the Job description for details