AI/ML Engineer - Remote

Overview

At Contrast Security, we’re redefining how organizations protect their software at the speed of modern development. With industry-leading Application Detection and Response (ADR), we give teams the power to detect, stop and fix real threats in real time. If you're passionate about building smarter, faster, more effective security, you’ll fit right in.

We’re looking for sharp minds, fearless builders, and problem-solvers who thrive on turning complex challenges into innovative solutions.

Are you passionate about using AI and machine learning to revolutionize cybersecurity? Do you want to be part of a team that's building the next generation of intelligent application security solutions using both traditional ML models and modern AI systems? If so, we invite you to join Contrast Security as an AI/ML Engineer.

At Contrast Security, we are at the forefront of application security innovation. Our AI/ML team is developing cutting-edge solutions like SmartFix (automated vulnerability remediation), intelligent vulnerability analysis, and next-generation security tools that leverage the power of large language models and advanced machine learning. As an AI/ML Engineer, you'll play a crucial role in building and scaling these intelligent systems that protect software worldwide.

This is a mid-level position perfect for a highly skilled and creative engineer who wants to make a significant impact in the intersection of AI and cybersecurity. We value both traditional ML expertise and modern AI application development skills - ideally both, but strong experience in either domain is valuable.

In Short

• Design, build, and deploy production-grade AI/ML systems.
• Implement advanced prompt engineering strategies.
• Build and optimize data pipelines and infrastructure.
• Collaborate with engineering teams and security researchers.
• Participate in code reviews and mentor team members.

Requirements

• 4+ years of professional software engineering experience.
• Expertise in Python and AI/ML frameworks.
• Proficiency in Java for backend services.
• Experience with ML models using TensorFlow, PyTorch, or scikit-learn.
• Experience in cloud environments (AWS, GCP, Azure).
• Bachelor's degree in Computer Science or related field.

Benefits

• Opportunity to work on cutting-edge security technology.
• Collaborative and innovative work environment.
• Professional growth and mentorship opportunities.
• Impactful role in revolutionizing cybersecurity.