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Machine Learning Researcher
- San Francisco, California, United States
- San Francisco, California, United States
À propos
Responsibilities
Train, test, validate, and iterate on ML models for emotion detection from voice.
Design and implement large data pipelines for training and evaluation.
Prototype new data processing and model approaches.
Build multimodal data analysis pipelines.
Incorporate customer feedback into data collection and training pipelines.
Contribute to our work on bias detection and mitigation - ensuring models perform equitably across diverse populations.
Work 3+ days a week in office in San Francisco.
Requirements
A strong background in Data Science.
Proficiency working with Python, Pytorch, Tensorflow/Keras, ScikitLearn, and AWS Sagemaker.
Extensive experience with data processing and training models from scratch.
Knowledge of architectures from simple neural networks to large scale transformer models to cutting-edge research.
Familiarity with signal processing techniques and experience with time series and/or audio data.
Preferred
Experience with MLOps and cloud deployment.
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Compétences linguistiques
- English
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