Seeking a highly skilled and motivated Machine Learning Engineer to join our team. The successful candidate will be responsible for building, maintaining, and improving a voice analysis model aimed at understanding user intent, detecting emotions, and endpointing. This role requires a deep understanding of machine learning techniques, experience with data annotation, and a passion for voice technology.

Responsibilities:

Design, develop, and maintain a voice analysis model..
Implement and optimize machine learning algorithms for real-time voice analysis.
Analyze and interpret datasets to improve model accuracy and performance.
Monitor and evaluate model performance in production, making necessary adjustments.
Document processes

Qualifications:

Bachelor’s in Computer Science, Engineering, Data Science, or a related field.
Proven experience in building and deploying machine learning models, preferably in voice analysis.
Strong proficiency in programming languages such as Python
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Familiarity with tools for audio processing and analysis (e.g., Librosa, OpenSMILE, Praat).
Experience with data annotation tools and techniques.
Excellent problem-solving skills and attention to detail.
Strong verbal and written communication skills.

Compensation:

Equityfor the moment

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Machine Learning Engineer