AI Engineer

About Dune Security:

Company Overview: Dune Security is the world’s first User Adaptive Risk Management solution. Powered by AI, we quantify employee risk with comprehensive data and automatically deliver user-adaptive training and intervention. For higher-risk users, our platform integrates seamlessly with the broader security stack to dynamically implement controls. Backed by Toba Capital, Craft Ventures, Alumni Ventures, Firestreak Ventures, and Antler, we empower CISOs to proactively manage human risk—the leading cause of cybersecurity breaches—and build safer, more resilient organizations.

Role Overview: We are seeking an experienced and innovative AI Engineer to join our cutting-edge team at Dune Security. In this role, you will drive the design, development, and deployment of AI and machine learning models that power our User Adaptive Risk Management platform. This position is pivotal to advancing our mission of proactively addressing human risk—the leading cause of cybersecurity breaches.

As an AI Engineer, you will work at the intersection of data engineering, machine learning, and scalable backend development, leveraging advanced technologies to create impactful solutions for enterprise security. You will collaborate with cross-functional teams to deliver production-grade AI systems, optimize workflows, and integrate machine learning insights seamlessly into our platform. This is a unique opportunity to contribute to groundbreaking technology while shaping the future of AI-driven cybersecurity.

Key Responsibilities

• AI and Machine Learning Development: Build, train, and deploy machine learning models using PyTorch, with a focus on NLP techniques and feature engineering.

• Data Engineering and Workflows: Design, implement, and maintain ETL pipelines for batch and streaming data. Ensure data quality, optimize schemas, and develop secure workflows adhering to compliance standards.

• Backend and API Development: Develop and optimize APIs in Python and Go for seamless integration with internal and external systems, while adhering to industry best practices for code quality and security.

• Cloud Infrastructure and DevOps: Implement scalable solutions on AWS using services like SageMaker, S3, and data lakes. Develop CI/CD pipelines and leverage Docker and Infrastructure as Code (IaC) tools like Terraform.

• Data Analysis and Storage: Utilize SQL and NoSQL databases, including PostgreSQL and MongoDB, to manage large-scale datasets effectively. Ensure efficient data processing and versioning.

• Model Monitoring and Optimization: Establish ML experiment tracking systems, optimize hyperparameters, and ensure production models meet performance benchmarks. Monitor deployed models for drift and accuracy over time.

• Collaborative Problem Solving: Partner with cross-functional teams to identify key challenges and deliver innovative AI-driven solutions. Mentor junior engineers and contribute to a culture of technical excellence.

Qualifications

• Core Expertise: Proficiency in Python and Go for production-level development, with a deep understanding of data engineering, including ETL pipelines, schema optimization, and data security.

• Machine Learning Proficiency: Demonstrated experience with PyTorch, NLP techniques, feature engineering, and deploying models in production environments.

• Data Management: Strong SQL skills, hands-on experience with Jupyter notebooks, and expertise in both relational (PostgreSQL) and NoSQL (MongoDB) databases.

• Cloud and Infrastructure: Proven experience with AWS services, Docker containerization, and IaC tools such as Terraform. Familiarity with CI/CD pipeline development.

• Development Practices: Expertise in version control with Git, API development, and adherence to documentation and testing best practices.

• Nice-to-Have Skills: Knowledge of hyperparameter optimization, ML observability tools, large-scale data processing, and resource management for scalable AI systems.

What You’ll Bring

• Technical Leadership: Ability to drive technical decisions, mentor team members, and shape the direction of AI and data initiatives.

• Problem-Solving Mindset: A track record of delivering innovative, scalable solutions to complex problems in AI, machine learning, and data engineering.

• Passion for AI and Security: Genuine interest in leveraging AI to address human risk and advance the field of cybersecurity.

• Adaptability and Agility: Experience working in fast-paced, agile environments, balancing multiple priorities while maintaining high-quality standards.

• Collaborative Spirit: A strong communicator and team player, eager to contribute to a mission-driven, innovative team.

Additional Details:

Location: NYC. Candidates must reside within a commutable distance of our Soho, Manhattan office.

Hours: Full time.

Joining Dune Security means embracing a unique opportunity to shape the future of cybersecurity. If you're passionate about innovation and ready to take on significant responsibility, we encourage you to apply.

Note: Dune Security is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.