Deep Learning/AI Engineer

Summary

Join Zimperium, a leader in mobile threat defense, as a Deep Learning/AI Engineer. Contribute to the development of advanced AI systems and deep learning algorithms, enhancing threat detection capabilities. You will design and implement AI agents powered by LLMs, analyze large datasets, and ensure the scalability and reliability of AI systems. This remote position offers the opportunity to work with cutting-edge technologies and collaborate with a talented team. A competitive salary and benefits package, flexible working arrangements, and the chance to impact the fight against cyber threats are included. Zimperium is an Equal Opportunity Employer.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and large-scale machine learning algorithms
• Expertise in designing and building AI agents based on LLMs
• Strong programming skills in Python, with experience in AI/ML libraries and tools (e.g., scikit-learn, Keras, Hugging Face)
• Solid understanding of AI and deep learning theory, including neural networks, supervised and unsupervised learning
• Experience working with large datasets and implementing efficient data pipelines
• Strong problem-solving skills and the ability to innovate in a fast-paced, research-driven environment

Responsibilities

• Design and develop AI agents based on large language models (LLMs) to enhance security capabilities and user experience
• Implement and optimize deep learning algorithms for various security applications, including threat detection and risk assessment
• Collaborate with cross-functional teams to integrate AI models into Zimperium's security solutions
• Research and stay up to date with the latest advancements in AI and machine learning technologies to continually improve our products
• Analyze large-scale datasets to train, test, and deploy AI models with high accuracy and efficiency
• Ensure the scalability, performance, and reliability of AI systems in real-world environments

Preferred Qualifications

Familiarity with cloud computing platforms and deployment of AI models (AWS, GCP, etc.) is a plus

Benefits

• Competitive salary and benefits package
• Flexible working arrangements