AI Engineer — Cardiac ML & Embedded Systems

ADP, Inc.; Arden Hills (MN); Presencial; USD 110 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical, dental, and vision coverage

Pet insurance

401(k)

Paid time off

Stock options

Resumo da oferta

Rhythm Express in Arden Hills, MN, is seeking an AI Engineer to develop and implement machine learning algorithms for cardiac remote monitoring. The role collaborates with teams in signal processing, embedded systems, cloud, cybersecurity, and regulatory compliance.

A recent or soon-to-be-graduated degree in EE, CE, CS, or biomedical engineering is preferred for this on-site position. Strong ML/deep learning foundation is highly desirable, with experience in training models from scratch,

Qualificações

• Strong foundation in deep learning and machine learning desirable.
• Experience or coursework in training models from scratch and fine-tuning pretrained models.
• Data analysis and visualization using Python (NumPy, Pandas, Matplotlib).
• Knowledge of data structures and algorithms; object-oriented programming.

Responsabilidades

• Develop and implement ML algorithms for cardiac remote monitoring.
• Collaborate with engineers in signal processing, embedded systems, cloud, cybersecurity, and regulatory domains.
• Apply Python-based data analysis and visualization to monitor model performance and outcomes.

Conhecimentos

Machine learning

Deep learning

Python programming

Generative AI

Formação académica

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Biomedical Engineering or related field

Ferramentas

PyTorch

TensorFlow

Descrição da oferta de emprego

Rhythm Express in Arden Hills, MN, is seeking an AI Engineer to develop and implement machine learning algorithms for cardiac remote monitoring. The role collaborates with teams in signal processing, embedded systems, cloud, cybersecurity, and regulatory compliance.

A recent or soon-to-be-graduated degree in EE, CE, CS, or biomedical engineering is preferred for this on-site position. Strong ML/deep learning foundation is highly desirable, with experience in training models from scratch,