Machine Learning Software Engineer at Mobileye bridging machine learning research and robust production deployment. Developing scalable inference pipelines primarily in Python with infrastructure tools.
About the role
- AI/ML Engineer developing AI-powered security solutions at Contrast Security. Building and scaling intelligent systems for software protection with advanced ML and AI technologies.
Responsibilities
- Design, build, and deploy production-grade AI/ML systems to solve complex security problems.
- Design and implement advanced prompt engineering strategies and build complex, multi-step agentic workflows.
- Build and optimize the data pipelines, training workflows, and serving infrastructure that form the backbone of our AI platform.
- Partner closely with engineering teams and security researchers to integrate AI/ML models into the Contrast platform.
- Contribute to our engineering culture by participating in code reviews, mentoring team members.
Requirements
- 4+ years of professional software engineering experience building and deploying production systems.
- Expertise in Python and common AI/ML frameworks.
- Proficiency in Java for building and maintaining production-grade backend services.
- Hands-on experience building, training, and deploying ML models.
- Experience developing applications using Large Language Models (LLMs).
- Experience deploying applications in a cloud environment (e.g., AWS, GCP, Azure).
- A bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- A strong understanding of application security concepts and vulnerability types (preferred).
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD) (preferred).
- Experience using AI coding assistants (preferred).
Benefits
- Offers Equity
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