Machine Learning Researcher

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

We are looking for an ML researcher who will be responsible for designing, training, and testing data pipelines and ML models while collaborating with current developers on existing models and codebases. This is a core research role that will work on expanding model offerings and updating existing models based directly on customer feedback. This role’s focus is to push the boundaries of emotion model capabilites.

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.