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. It utilizes AI and memory graph technology to connect users’ thoughts, providing personalized insights and emotional analysis. The platform offers several key features including:
• AI-powered journaling: Facilitates journaling with the assistance of AI.
• Habit tracking: Allows users to monitor and manage their habits.
• Goal management: Provides tools for setting and achieving goals.
• Emotional analysis: Analyzes user input to identify emotional patterns and trends.
• Secure data encryption: Ensures the privacy and security of user data.
NeuraScribe aims to be a supportive and personalized tool to help users improve their mental health.
Job Description: Junior Machine Learning Engineer (Full-Time, Remote)
This role involves designing, building, and deploying machine learning models for the NeuraScribe platform. The Junior Machine Learning Engineer will be responsible for various tasks, including:
• Data preprocessing: Cleaning, transforming, and preparing data for model training.
• Algorithm development: Designing and implementing machine learning algorithms.
• Model deployment: Deploying 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.
Qualifications:
• Solid understanding of Pattern Recognition and Neural Networks: A strong theoretical grasp of these concepts is essential.
• Strong foundation in Computer Science and Algorithms: Fundamental computer science knowledge is required.
• Proficiency in Statistics and data analysis: The ability to analyze and interpret data is crucial.
• Excellent problem-solving and analytical skills: The ability to identify and solve complex problems is key.
• Ability to collaborate effectively in a remote team environment: Successful remote work experience is highly desirable.
• Bachelor’s degree in Computer Science, Engineering, or a related field: A relevant academic background is necessary.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch): While not mandatory, experience with these frameworks is a significant plus.
