©2019 by LifeLens Technologies, LLC.

SOFTWARE ENGINEER: MACHINE LEARNING

Posted March 5, 2020

You will have the opportunity to work on cutting-edge technologies designed to revolutionize wearable health care. Your passion and drive will be rewarded with a competitive salary, benefits, and long-term growth opportunities.


The ideal candidate is a self-starter who enjoys working independently in a start-up environment. You are detailed oriented and goal driven. You are a capable problem solver who is comfortable researching solutions autonomously. You have excellent organizational skills and superior verbal and written communication skills.

Job Description:

  • Building machine learning models and algorithms.

  • Algorithm development, implementation, and deployment

  • Data collection and analysis of physiological signals and population data sets

  • Work with team members on tests and procedures for algorithm validation, clinical trials, and user studies

  • Designing and developing software for Data Visualization

  • Assist with the development from the ground up of an in-house solution for patient monitoring and patient management applications.

  • Work will include software development of client-side and server-side applications, data management, security implementation, and API development for integration with EHR platforms.


Qualifications:

  • 3+ years developing machine learning systems and algorithms

  • 7+ years software development experience

  • Experience working with cloud-based services and systems including one or more of Amazon ML, Microsoft Azure, Google Cloud ML, Apache Spark or similar

  • Experience with one or more of Python, R, Java, and C programming languages

  • Matlab experience

  • Familiarity with relational or NoSQL database development

  • Experience with edge computing methodologies

  • Background in data science, mathematics is preferred

  • Familiarity with healthcare and/or finance is preferred

  • Master’s Degree or PhD in STEM field, Computer Science, Computer Engineering or a related technical discipline.


To apply, send a pdf of your resume to info@lifelenstech.com