Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and data management, with experience in building and maintaining datasets that reflect diverse languages and cultures. Your keen eye for linguistic nuance allows you to identify and address gaps in data quality and representation. You are proficient in Python and have hands-on experience with machine learning frameworks such as TensorFlow and Keras. You understand the importance of data in training effective AI models and are passionate about creating inclusive datasets at scale. You thrive in collaborative environments and enjoy working closely with cross-functional teams to ensure that the data used in model training is comprehensive and representative. You are comfortable working in a fast-paced setting where execution speed is paramount, and you are committed to maintaining high standards of quality and design.

What you'll do

In this role, you will be responsible for owning the quality and coverage of the data behind Cartesia's AI models. You will design and implement processes to ensure that the datasets are inclusive and representative of the world's linguistic diversity. You will collaborate with engineers and researchers to identify data needs and gaps, and you will work on building datasets that enhance model performance across various languages. You will also be involved in evaluating the effectiveness of the datasets and making recommendations for improvements. Your work will directly impact the performance of the AI models, ensuring they can process and reason over extensive streams of audio, video, and text data. You will engage in continuous learning and stay updated on the latest advancements in machine learning and data management practices. You will contribute to a culture of innovation and excellence, helping to shape the future of AI at Cartesia.

What we offer

Cartesia provides a collaborative and inclusive work environment where you can grow your skills and contribute to cutting-edge AI projects. You will have the opportunity to work alongside experts in the field and be part of a team that values quality and design. We encourage you to apply even if your experience doesn't match every requirement, as we believe in supporting each other and fostering a culture of learning. Our office in San Francisco is designed to facilitate collaboration and creativity, and we prioritize a supportive atmosphere where everyone has the resources they need to succeed.