Senior Machine Learning Engineer

Summary

Join Blackpoint Cyber as an ML Engineer and take a technical lead role in the machine learning function of our A.I. business unit. You will build out Blackpoint Cyber’s machine learning solutions to support the development of our A.I. products and features, directly supporting Blackpoint’s cybersecurity mission. This role requires 5+ years of hands-on ML Engineering experience with a proven track record of delivering A.I. products and services into production. You will report to the Head of Artificial Intelligence and collaborate with cross-functional teams. Blackpoint Cyber offers competitive benefits for eligible US employees, including health, vision, dental, and life insurance plans, a 401k plan, and discretionary time off.

Requirements

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

Responsibilities

• 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)

Preferred Qualifications

• Transformer Neural Nets
• Agile Scrum
• Programming (Scala, Java)
• Experience in Cybersecurity, IoT, or NLP fields

Benefits

• Competitive Health, Vision, Dental, and Life Insurance plans
• A robust 401k plan
• Discretionary Time Off