Machine Learning Engineer

Hello Heart is seeking a talented and motivated ML Engineer (MLE) to join their Data group. The MLE will be responsible for designing, developing, and implementing machine learning models and systems, with a focus on productizing clinical predictions products. They will also be responsible for developing and maintaining ML models infrastructure and data pipelines, monitoring the performance and accuracy of deployed models, and staying up-to-date with advancements in machine learning. A Bachelor's degree in computer science, engineering, or a related field is required for this role.

• Design, develop, and optimize machine learning models, algorithms, and pipelines
• Ensure scalability, performance, and reliability of the models
• Develop and maintain Hello Heart's ML models infrastructure and data pipelines
• Integrate models into existing systems or develop new ones based on production and research needs
• Continuously monitor the performance and accuracy of deployed models
• Identify and address model degradation, data drift, and other issues
• Maintain and update models as needed
• Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields
• Explore and experiment with new algorithms, frameworks, and tools to improve model performance and efficiency

• Design, develop, and optimize machine learning models, algorithms, and pipelines
• Ensure scalability, performance, and reliability of the models
• Develop and maintain ML models infrastructure and data pipelines
• Integrate models into existing systems or develop new ones based on production and research needs
• Continuously monitor the performance and accuracy of deployed models
• Identify and address model degradation, data drift, and other issues
• Maintain and update models as needed
• Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields
• Explore and experiment with new algorithms, frameworks, and tools to improve model performance and efficiency
• Bachelor's degree in computer science, engineering or an equivalent field

• Empowers people to embrace healthier behavior
• Reduces the risks of high blood pressure and heart disease
• Helps users catch blood pressure readings that are extremely high
• Encourages users to talk to their doctor to identify potential risk in time
• Validated in peer-reviewed studies
• Trusted by leading Fortune 500 companies
• Works alongside an employer's benefits ecosystem
• Positive, diverse, and supportive culture