Junior Machine Learning Engineer
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Job Description
About NeuraScribe AI:
NeuraScribe AI is a cutting-edge platform that combines artificial intelligence with journaling, habit tracking, and goal management to improve mental wellness. Using AI and memory graph technology, it connects users’ thoughts, providing personalized insights and emotional analysis. Key features include:
• AI-powered journaling: Facilitates journaling with AI assistance.
• Habit tracking: Helps users monitor and manage their habits.
• Goal management: Provides tools for setting and achieving goals.
• Emotional analysis: Analyzes user entries to identify emotional patterns.
• Secure data encryption: Ensures user data privacy and security.
NeuraScribe aims to be a supportive tool in the journey toward better mental health, offering a personalized and secure experience.
Job Description: Junior Machine Learning Engineer (Full-time, Remote)
This role involves designing, building, and deploying machine learning models for NeuraScribe AI. The Junior Machine Learning Engineer will be responsible for:
• Data preprocessing: Cleaning, transforming, and preparing data for model training.
• Algorithm development: Designing, implementing, and testing machine learning algorithms.
• Model deployment: Integrating trained models into the NeuraScribe platform.
• Continuous improvement: Contributing to the ongoing enhancement of AI features.
• Cross-functional collaboration: Working with other teams to integrate AI solutions into the product.
The ideal candidate will possess:
• A solid understanding of Pattern Recognition and Neural Networks.
• A strong foundation in Computer Science and Algorithms.
• Proficiency in Statistics and data analysis.
• Excellent problem-solving and analytical skills.
• The ability to collaborate effectively in a remote team environment.
• A Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
