Senior/Staff Machine Learning Engineer - SandboxAQ

About the Role

The SandboxAQ team is looking for a talented Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for developing and training cutting-edge machine learning models to help shape the next generation of cybersecurity systems and enhance our security suite’s capabilities. You will be part of a diverse team consisting of cryptographers and ML experts, playing a key role in efficient and effective enablement of the technologies being developed.

Core Responsibilities

• Design, develop, and implement end-to-end machine learning solutions in the cybersecurity field as an individual contributor
• Work closely with other ML team members and the engineering team to integrate ML solutions into existing solutions
• Analyze large-scale security data incl. network traces, filesystems, and logs / event data
• Optimize and fine-tune machine learning models to improve performance and scalability
• Conduct research to stay updated on the advancements in ML applied to cybersecurity
• Perform thorough testing and validation of ML models to ensure reliability / effectiveness

Qualifications and Skills

• Proven experience working as a ML Engineer, preferably in the cybersecurity domain
• Experience with rapid prototyping to deploy machine learning algorithms
• Familiarity with common ML tools (TensorFlow, Keras, PyTorch, etc.)
• Proficiency in programming languages such as Python / C++

Preferred Qualifications

• At least 5 years of proven experience working as an ML Engineer
• Experience with unsupervised learning and data visualization for large datasets
• Experience with ranking systems
• Experience with MLOps frameworks for processing and analyzing large datasets
• Solid understanding of network protocols, security, and cybersecurity principles
• Excellent communication skills and ability to work in a startup environment