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Zimperium is a leading provider of mobile threat defense, offering cutting-edge technology to protect businesses from evolving cyber threats. We are looking for a talented Deep Learning/AI Engineer to join our research team and drive the future of AI-powered security solutions.
We are seeking an experienced Deep Learning/AI Engineer to contribute to the development of advanced AI systems and deep learning algorithms. As part of our team, you will have the opportunity to work on innovative projects that enhance Zimperium’s threat detection capabilities and contribute to mobile cybersecurity.
You will be responsible for creating AI agents powered by large language models (LLMs) and designing and implementing deep learning algorithms that can analyze and predict cyber threats and improve app analysis systems.
Location: Remote
Key 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.
Qualifications:
- 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.
- Familiarity with cloud computing platforms and deployment of AI models (AWS, GCP, etc.) is a plus.
Why Join Us?
- Work with cutting-edge technologies in a fast-growing industry.
- Collaborate with a talented team of engineers and security experts.
- Competitive salary and benefits package.
- Flexible working arrangements.
- Opportunity to make a real-world impact in the fight against cyber threats.
Zimperium® is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
