Trace

Machine Learning Engineer

• Own models end to end: data, training, evaluation, and deployment into the annotation pipeline
• Build training pipelines for large, multimodal datasets, including video, sensor streams, and language
• Partner with the Head of Engineering and computer vision team to get models into production and keep them improving
• Start with the simplest approach that works, then improve it using recent papers when useful
• Move quickly between different problems and build the necessary tooling
• Work across ML engineering and research on difficult problems and ship solutions into production

Explore Machine Learning Engineer, Applied at Trace. Review requirements and application details.