Machine Learning Scientist - Healthcare Technology

Company: MindFinders
Location: Not Specified, Not Specified, United States
Type: Full-time
Posted: 11.AUG.2021


Machine Learning Scientist at AiCure (View all jobs) Remote AiCure is headquartered in New York and has leveraged mobile and cloud-based ...


Machine Learning Scientist

at AiCure (View all jobs)


AiCure is headquartered in New York and has leveraged mobile and cloud-based applications, combined with our latest Artificial Intelligence (Computer Vision, Machine Learning, Data Science) to bring about a better way for pharma & healthcare businesses to deliver to you & me.

When patients use our apps, information on their medication intake is reported in various dashboard products, which allow stakeholders to gain insights and to take actions (patient alerts, etc.). Our apps use computer vision to identify the patient (face verification), verify that patients are taking the right medication (pill recognition), and that they are actually taking their medication (action recognition).

The Machine Learning Engineer Research Scientist will lead research, design and implementation of advanced computer vision solutions related to AiCure products. This position reports to the Director of AI, Engineering.

Essential Functions/Responsibilities:

  • Research, design, and implement novel algorithms to solve real-world Computer Vision/Machine Learning problems to improve healthcare (more specifically, problems in medication adherence and digital biomarker).
  • Implement and create prototypes demonstrating the viability of using the algorithms in practice.
  • Develop and deploy computer vision solutions
  • Collect relevant training data and run experiments comparing with state-of-the-art methods, with a strong focus on performance on challenging real-world conditions (motion, camera shake, low-light, etc.).
  • Work closely with the team to ensure that research is appropriately transferred to impact products.
  • Add to our existing patent portfolio and publish in top-tier conferences and journals.
  • Continuously stay up to date on advances in the research community (e.g., by experimenting with different Deep Learning models, data sets, algorithms, etc.).
  • Additional responsibilities may be assigned based on the strategy, operation and activities of the company.

Required Education & Training:

  • Master's degree in Computer Science, Electrical Engineer, or a related field,
  • At least 3 years of experience in research and development.
  • The candidate must have experience in image segmentation, clustering, object detection, and similar topics in Computer Vision.
  • Industry experience is preferred.
  • Publications in top-tier conferences and journals (such as ICCV, CVPR, ACM Transactions, etc.) are preferred.
  • Excellent interpersonal and communication skills
  • Ability to work independently and collaboratively
  • Ability to communicate design rationale and build consensus
  • Ability to prioritize and manage work to critical project timelines in a fast-paced environment
  • Ability to develop new approaches to complex design problems
  • Must be organized, have an eye for detail, and be able to put ideas into a tangible form.
  • Ability to manage and provide tactical leadership to development team members.
  • Company directed training related to Quality Management System, Human Subjects, Security and Good Clinical Practice.

Required Knowledge, Skills and Abilities

  • Excellent written, oral and presentation skills
  • Exceptional attention to detail and accuracy
  • Professional, self starter, very enthusiastic, catalyst and committed to make the difference
- provided by Dice

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