ML Engineer (Founding Engineering)

About Worf:

Worf is a cutting-edge cybersecurity solution leveraging Large Language Models (LLMs), Knowledge Graphs, Bayesian Networks, and a Mixture of Experts approach to revolutionize the Security Operations Center (SOC) landscape. As a founding member of Worf, you will play a pivotal role in shaping the product, culture, and direction of the company.

Key Responsibilities:

• Model Development: Design, implement, and optimize state-of-the-art machine learning models tailored for cybersecurity applications.
• Collaboration: Work closely with the product, engineering, and data teams to integrate ML models seamlessly into Worf's platform.
• Research: Stay updated with the latest advancements in ML and cybersecurity to ensure Worf remains at the forefront of innovation.
• Data Management: Handle large-scale data, ensuring its quality, security, and accessibility for model training and evaluation.
• Continuous Learning: Implement mechanisms for models to learn and adapt continuously from new data and feedback.
• Scalability: Ensure that ML solutions are scalable and can handle the demands of real-world cybersecurity challenges.

Qualifications:

• Bachelor's/Master's/PhD in Computer Science, Machine Learning, AI, or a related field.
• Proven experience in designing and implementing machine learning models in real-world scenarios.
• Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, etc.
• Experience with NLP and Large Language Models is a plus.
• Knowledge of cybersecurity is beneficial but not mandatory.
• Strong problem-solving skills and the ability to work in a fast-paced startup environment.
• Excellent communication skills and the ability to collaborate with cross-functional teams.

What We Offer:

• A chance to be part of the foundational team of a startup poised to revolutionize the cybersecurity domain.
• Competitive salary and equity options.
• Flexible working hours and the possibility of remote work.
• A culture that values innovation, collaboration, and personal growth.