Senior AI Engineer

Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.

Join us for the ride!

About the Role:

Point Wild is building the Trailblazer AI Team—a dedicated group focused on applying AI to enhance our products, drive business growth, and deliver real-world impact across multiple product lines (antivirus, VPN, identity protection, password management, and more).

As a Senior AI Engineer, you will play a critical role in building, deploying, and operationalizing machine learning models that drive innovation across the company. This role is hands-on, requiring expertise across the entire AI development lifecycle—from proof-of-concept experimentation to production-ready deployment. You will collaborate closely with R&D teams to scope AI initiatives, rapidly prototype models, and ensure scalable, maintainable AI solutions.

Day to Day:

• Develop and Deploy ML Models – Build and deploy machine learning models leveraging a possibly wide range of machine learning techniques (e.g., supervised/unsupervised learning, natural language processing, etc.).
• Rapid Prototyping & PoCs – Quickly build early-stage proof-of-concepts (PoCs) and conduct technical feasibility studies for AI initiatives.
• Full AI Lifecycle Ownership – Work across the entire ML pipeline, from prototyping in Python to deploying containerized models in AWS.
• Mentor & Collaborate – Work closely with other AI engineers, providing mentorship as needed and ensuring best practices in AI development.
• MLOps & Continuous Deployment – Partner with the Data/MLOps team to establish and maintain CI/CD pipelines for AI models.

Why this role matters?

• Core Execution Role – This person will be building actual AI models, directly impacting multiple product lines.
• AI at Scale – Ensuring that models are not just prototypes but can be deployed, scaled, and maintained in production environments.
• Speed & Innovation – Rapidly iterating and translating AI research into working solutions that drive business value.

What you bring to the table:

• Strong ML & AI Expertise – Deep experience in applied machine learning, including supervised, unsupervised learning, and NLP.
• Full-Stack AI Development – Comfortable building PoCs and deploying models in production (AWS, Docker, Kubernetes preferred).
• Proficient in Python & ML Frameworks – Strong coding ability with PyTorch, TensorFlow, or Scikit-learn.
• Product-Oriented Mindset – Able to align AI development with business impact and product goals.
• Startup Mentality – Comfortable operating in a fast-moving environment where rapid iteration and execution are key.
• Fluent English

Why Join Us?

• Work on Cutting-Edge AI – Build and deploy real-world AI solutions across multiple product lines.
• Be a Core Team Member – Directly shape the company’s AI strategy and impact millions of users.
• End-to-End AI Development – Own the full AI pipeline, from research and modeling to deployment and optimization.