Senior Machine Learning Research Engineer, Stellar Cyber

• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience
• 3 years of experience with software development or 2 years of experience with an advanced degree in an industry setting
• 3 years of experience with data structures and algorithms in either an academic or industry setting
• 2 years of experience with developing backend functionalities, distributed systems, APIs (REST / gRPC), and microservices for machine learning or other data intensive projects
• Experience with cloud computing technologies, including containerization, orchestration, and deployment (Docker, Kubernetes, etc)
• Experience in one or more of the following programming languages: Python, Java, Go
• Proficiency in communicating over a text-based medium (e.g., Slack) and can succinctly describe, discuss, and document technical details

Desirable

• We are looking for a highly skilled Senior Machine Learning Software Engineer with a passion for building robust and scalable systems to power Stellar Cyber’s Open XDR platform
• In this role, you will be at the forefront of data-intensive cybersecurity and machine learning software architecture innovation, responsible for developing the foundational components that enable effective and efficient cybersecurity operations for our customers
• Design and implement scalable data processing components and supporting features for Stellar Cyber’s cybersecurity applications, including but not limited to, threat detections, incident correlation, threat intelligence, and asset management
• Candidates who successfully pass all the interviews will be assigned to a project area in need
• Monitor and resolve production stability issues related to the aforementioned components and features
• Collaborate closely with machine learning / security researchers, UI / UX, and product management to ensure the design and implementation to align with evolving product needs and business goals