Machine Learning Engineer

Machine Learning Engineer

inui is a consumer medical diagnostics company developing diagnostic capabilities in a mobile environment to empower consumers with access to information about their own health, anytime, anywhere, leading to a better quality of life. The current product pipeline includes inui In-Home Urine Analysis, a urine test kit designed to check for several health conditions by measuring the levels of chemical substances in a urine sample. This test kit combines intelligent algorithms, the mobility of smartphones, and in-vitro diagnostic science to support personalized medicine. Be a part of a team whose vision is to provide cloud-based diagnostic testing with higher accuracy and lower cost for early intervention.
Do some good. Have fun. Make history.

Job Description
As a Machine Learning Engineer at inui you will take part in the maintenance, design and development of algorithms related to image analysis and machine learning systems.  You will work with a team of software and data engineers to help ensure inui's algorithms are developed with the highest level of accuracy.

  • Support design, prototype and development of algorithms related to image analysis and machine learning systems.
  • Demonstrate numerically and visually that the developed algorithms meet accuracy requirements. 
  • Perform statistical analysis, estimate generalization errors. 
  • Summarize algorithm development, analysis, training and validation of the algorithms in technical reports. 
  • Write design input specifications and requirements related to the algorithms for the product development phase. 
  • Interact with software team for implementation of the algorithms during the product development phase. 
  • Collaborate closely with other cross-functional teams to validate the developed algorithms.

  • Bachelors or Masters in computer science, data science, statistics, applied mathematics, engineering, or related technical field
  • At least 3 years experience (with a Bachelors) or 1 year experience (with a Masters) in algorithm development geared towards consumer devices 
  • Experience in machine learning and feature extraction
  • Solid understanding of supervised learning algorithms including regression, support vector machines, and neural networks, statistical analysis, cross-validation techniques, feature extraction, and feature selection 
  • Proven programming skills in Matlab and/or Python
  • Ability to focus and to achieve scheduled milestones in a collaborative environment
  • Possess a passion for data analysis and making things work
  • Excellent verbal and written communication skills 

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