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LeadFull-timePythonAWSGCPDockerTensorFlowPyTorchGitAIML
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Principal AI Engineer to join our team in the United States. This senior, hands-on role focuses on building next-generation computer vision and recommendation systems, leading the design, development, and deployment of AI models that analyze visual content and deliver personalized recommendations. The position involves combining deep learning techniques with behavioral analytics to optimize user experiences in an innovative, fast-paced, and collaborative environment, with remote work flexibility.
Key Responsibilities
- →Develop and deploy computer vision models (CNNs, vision transformers) for facial recognition, object detection, scene categorization, and aesthetic scoring
- →Build scalable pipelines for processing large volumes of image data and generating structured metadata
- →Integrate image intelligence with downstream systems such as search, ranking, and personalization
- →Design and implement recommendation systems leveraging behavioral analytics, collaborative filtering, and transformer-based models
- →Lead AI architecture strategy, model training, deployment, monitoring, and data acquisition initiatives
- →Provide hands-on mentorship, code review, and technical leadership across teams
- →Define experimentation frameworks (A/B testing) to optimize recommendation relevance and conversion
Requirements
- ✓10+ years of software engineering experience, with at least 5 years in AI/ML-focused roles
- ✓Deep expertise in computer vision, including CNNs, vision transformers, facial recognition, image classification, object detection, and embeddings
- ✓Strong experience with recommendation systems, collaborative filtering, and deep learning for personalization
- ✓Proficiency in Python and ML libraries such as PyTorch, TensorFlow, and OpenCV
- ✓Experience deploying ML models at scale using Docker, AWS, GCP, or similar platforms
- ✓Proven ability to lead cross-functional technical initiatives from ideation to delivery
- ✓Solid understanding of the ML lifecycle: data management, model evaluation, explainability, and observability
- ✓MS in Computer Science or a related field
Benefits
- ★Competitive base salary with potential bonus incentives
- ★Health, dental, and vision benefits
- ★401(k) plan and other retirement benefits
- ★Flexible remote work options within eligible US states
- ★Opportunities to work on cutting-edge AI and computer vision technologies
- ★Collaborative, inclusive, and innovative work culture
- ★Professional growth, mentorship, and hands-on technical leadership opportunities
