ML Engineer

Found in: beBee jobs US - 1 week ago


San Francisco, California, United States Worf Full time

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.

focuses on SaaS, B2B, Artificial Intelligence, and Cyber Security. Their company has offices in San Jose, Palo Alto, and Mountain View. They have a small team that's between 1-10 employees.
You can view their website at
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