Senior ML Research Engineer

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Stellar Cyber

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Cybersecurity • Artificial Intelligence • Enterprise

Stellar Cyber is a company that provides an automation-driven security operations platform seamlessly integrating next-generation SIEM, Network Detection and Response (NDR), and Open Extended Detection and Response (XDR). Their platform utilizes advanced AI to quickly detect and correlate cybersecurity threats across various security tools, offering comprehensive threat intelligence and automated incident response to enhance security operations for enterprises, MSSPs, and MSPs. With a focus on reducing security operation costs and improving threat response times, Stellar Cyber helps organizations protect their entire attack surface, including on-premises, cloud, and IT/OT environments.

- employees

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

💰 $38M Series B on 2021-11

📋 Description

• **Key Responsibilities** • - 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.

🎯 Requirements

• **Minimum Qualifications** • - 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. • **Preferred Qualifications** • - PhD in Computer Science with a research focus on software systems. • - Experience with developing backend components, such as threat detection engines, in a cybersecurity product. • - Experience working on machine learning platform teams and/or building tools and frameworks for researchers. • - Experience with observability frameworks and practices in machine learning systems. • - Knowledge of machine learning and/or SecOps concepts is a plus.

🏖️ Benefits

• - Pre-IPO Stock Options (equity opportunity) • - Medical, Dental & Vision care • - Life Insurance • - 401(k) • - Employee Assistance Program • - Paid time off • - Referral Program • - Rewards and Recognition Program