AI/ML Engineer
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Key skills for this role
Role Overview
Build intelligent systems that understand and curate human memories with emotional intelligence and context awareness.
Lead development of AI features that help families organize and rediscover important moments.
Key Skills for This Role
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About This Role
Build intelligent systems that understand and curate human memories with emotional intelligence and context awareness.
Lead development of AI features that help families organize and rediscover important moments.
Key Responsibilities
- Develop and deploy machine learning models for image and video analysis.
- Build natural language processing systems for memory categorization.
- Create recommendation engines for memory discovery and sharing.
- Implement computer vision models for face recognition and scene detection.
- Design AI systems that respect privacy and handle sensitive family data.
- Optimize models for performance and scalability in production.
- Translate business needs into AI solutions with product teams.
- Stay current with AI/ML research and best practices.
Essential Qualifications
- At least 4 years of machine learning engineering experience.
- Strong proficiency in Python, TensorFlow or PyTorch, and scikit-learn.
- Experience with computer vision and natural language processing.
- Knowledge of cloud ML platforms such as AWS SageMaker or Google AI Platform.
- Understanding of MLOps practices and model deployment.
- Experience with ethical AI principles and bias mitigation.
- Strong mathematical foundation in statistics and linear algebra.
- Excellent problem-solving and analytical thinking skills.
Preferred Qualifications
- A PhD or master's degree in Machine Learning, Computer Science, or a related field is preferred.
- Experience with recommendation systems and collaborative filtering is preferred.
- Knowledge of edge computing, model optimization, or privacy-preserving ML is preferred.
- Published research in relevant AI/ML conferences or journals is preferred.
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