Principal AI Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal AI Engineer in the United States.

We are seeking a Principal AI Engineer to lead the development of next-generation AI-driven systems for personalized visual content and product recommendation. This role focuses on leveraging advanced computer vision and machine learning techniques to intelligently analyze, score, and recommend images based on both aesthetic and behavioral insights. You will design scalable pipelines that combine semantic image understanding, metadata extraction, and behavioral modeling to create hyper-personalized user experiences. The position involves hands-on technical leadership, mentorship, and architectural guidance across cross-functional teams. Ideal candidates thrive in a fast-paced environment where innovation, quality, and collaboration drive business impact. This is a high-visibility role with the opportunity to shape the direction of AI-powered systems that influence millions of users.

Accountabilities:

• Develop and deploy computer vision models, including CNNs and transformer-based architectures, for image analysis, tagging, and scoring.
• Build scalable pipelines to process large volumes of images and generate structured metadata.
• Design and implement recommendation systems that integrate behavioral data with image intelligence for personalized user experiences.
• Lead experimentation and A/B testing frameworks to optimize recommendation relevance and engagement.
• Provide hands-on technical leadership, mentorship, and code contributions to cross-functional teams.
• Define AI system architecture and ensure seamless integration with core applications.
• Drive strategic decisions on data acquisition, model training, deployment, and monitoring.

• 10+ years of software engineering experience, including at least 5+ years in AI/ML-focused roles.
• Deep expertise in computer vision techniques: CNNs, vision transformers, facial recognition, object detection, image classification, and embeddings.
• Strong experience with recommendation systems, collaborative filtering, and transformer-based personalization models.
• Proficiency in Python and ML libraries such as PyTorch, TensorFlow, and OpenCV.
• Experience deploying ML models at scale using cloud platforms and containerized environments (e.g., Docker, AWS, GCP).
• Proven ability to lead complex technical initiatives from concept to production.
• Solid understanding of ML lifecycle best practices, including data management, model evaluation, explainability, and observability.
• MS or higher in Computer Science or a related field.
• Strong leadership, communication, and collaboration skills to work effectively across teams.

• Competitive base salary based on experience and location.
• Bonus incentives and performance-based rewards.
• Health, dental, and vision coverage.
• 401(k) plan with company matching.
• Remote work options within eligible US states.
• Professional development and career growth opportunities.
• Employee perks and wellness programs.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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