Machine Learning Engineer, Core Evaluations

About the Role

About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: We are seeking an experienced Machine Learning Engineer (MLE) to focus on audio model evaluation, specifically for speech generation and recognition models. This role involves designing and developing comprehensive model evaluation pipelines for both development and production environments, as well as creating automated dashboards for reporting evaluation results. As the founding member of our evaluation team, the ideal candidate is expected to leverage their experience to lead our evaluation efforts and play a key role in the future growth of the evaluation team. What You’ll Do: 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. What You’ll Bring: Strong experience and intuition for designing metrics that capture model performance. Strong experience with design

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.