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 an AI Engineer, you will work closely with Senior AI Engineers and MLOps/Data Engineers to develop, deploy, and optimize AI models that power our next-generation security products.

This is a hands-on engineering role, requiring expertise in machine learning model development, deployment, and optimization. You will contribute to multiple AI initiatives, ensuring that models are efficient, scalable, and production-ready.

Day to Day:

• Model Development & Optimization: Implement, refine, and maintain ML models (supervised, unsupervised, NLP-based models).
• Production Integration: Work with Data/MLOps Engineers to package, deploy, and monitor models within a robust CI/CD pipeline.
• Performance Tuning: Optimize model efficacy, efficiency, and reliability  
• Parallel Project Support: Split or manage multiple AI initiatives to enable faster execution across various R&D efforts.

What you bring to the table:

• Strong ML & AI Fundamentals: Hands-on experience with supervised/unsupervised learning, NLP, and deep learning techniques.
• Model Deployment & MLOps Experience: Comfortable working with containerized models, cloud-based AI pipelines (AWS preferred), and CI/CD for ML.
• Proficiency in Python & ML Frameworks: Experience with PyTorch, TensorFlow, Scikit-learn, or similar tools.
• Performance-Driven Mindset: Skilled in optimizing models for accuracy, efficiency, and scalability.
• Collaboration & Growth: Thrives in a cross-functional team and is eager to learn from and contribute to AI best practices.

Why Join Us?

• Work on Cutting-Edge AI: Build and optimize real-world AI solutions across multiple security-focused product lines.
• Be a Key Player in AI Deployment: Own critical aspects of model development, productionization, and optimization.
• Learn & Grow in a High-Impact Team: Collaborate with top AI engineers and scale AI innovation within a growing company.

As part of Point Wild, you will:

Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.

See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.

Accelerate your career.  As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.

Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.

Important privacy information for United States based job applicants can be found here.