[Remote] Deep Learning AI Engineer Worldwide Remote

What you'll work on

• 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.

Skills

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

Education Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Benefits

• Competitive salary and benefits package
• Flexible working arrangements

Company Overview

• Zimperium is a mobile security startup that offers protection for mobile devices against the next generation of advanced mobile attacks. It was founded in 2010, and is headquartered in Dallas, Texas, USA, with a workforce of 201-500 employees. Its website is https://www.zimperium.com.

Company H1B Sponsorship

• Zimperium has a track record of offering H1B sponsorships, with 3 in 2025, 6 in 2024, 5 in 2023, 11 in 2022, 6 in 2021, 8 in 2020. Please note that this does not guarantee sponsorship for this specific role.