Machine Learning Enginer, Core Evaluations

Cantina Labs is a social AI company focused on developing advanced real-time models that enhance human creativity and social interactions. They are seeking an experienced Machine Learning Engineer to lead audio model evaluation efforts, designing evaluation pipelines and automated reporting dashboards for model performance.

Responsibilities:

• Designing model evaluation pipelines for models in development and production
• Designing user studies for subjective model evaluations
• Converting requirements into measurable metrics
• Designing and developing automated evaluation dashboard to see model performances and compare results
• Training new models to capture new and different evaluation metrics
• Communicating with the model team to help design better models based on the evaluation results
• Communicating with the data team to help decide the type of data necessary to improve model performance
• Communication with the product-manager to make sure product requirements are correctly measured
• Help grow the evaluation team as the founding member
• Lead the evaluation team in the future

Requirements:

• Strong experience and intuition for designing metrics that capture model performance
• Strong experience with designing user studies on Mechanical Turk or similar platforms
• Strong experience with model training and fine-tuning for model evaluation
• Strong statistical knowledge and experience to statistically compare evaluation results and take decisions
• Very strong engineering and programming skills
• Experience with training ASR, TTS models
• Experience at ML teams working on large-scale machine learning problems. (>3B models with >1m hours of data)