Emotion ML Researcher – In-Office SF

Valence AI; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Valence AI is seeking an ML researcher to design, train, and test data pipelines and ML models. This core role focuses on emotion detection using voice data and requires collaboration on existing models based on customer feedback.

Ideal candidates should have a strong data science background, proficiency in Python and various ML frameworks, and experience in data processing. The role requires in-office work in San Francisco at least three days a week.

Qualifications

• A strong background in Data Science.
• Proficiency in Python and popular ML frameworks.
• Extensive experience with data processing and model training.
• Knowledge of various neural network architectures.
• Familiarity with signal processing techniques.

Responsibilities

• Train and validate ML models for emotion detection.
• Design data pipelines for model training and evaluation.
• Prototype new data processing approaches.
• Build multimodal data analysis pipelines.
• Incorporate customer feedback into development.
• Contribute to bias detection and mitigation in models.

Skills

Data Science

Python

Pytorch

Tensorflow/Keras

ScikitLearn

AWS Sagemaker

Job description

Valence AI is seeking an ML researcher to design, train, and test data pipelines and ML models. This core role focuses on emotion detection using voice data and requires collaboration on existing models based on customer feedback.

Ideal candidates should have a strong data science background, proficiency in Python and various ML frameworks, and experience in data processing. The role requires in-office work in San Francisco at least three days a week.