Machine Learning Scientist/Engineer

Fast-growing AI company is seeking highly-qualified scientists and engineers with experience in ML (Machine Learning), DL (Deep Learning) and Computer Vision to address real-world challenges in the Health Care industry. If you have a successful track record in software development, knowledge of current software technologies and methodologies, and excellent communication and interpersonal skills, we want to talk with you. Experience with image processing technologies is a plus.

Desired skills:

Experience with data noise removal, data augmentation, dataset truthing and construction

Expertise in visualizing and manipulating large datasets

Experience working with Xray images (medical/dental) or in the medical domain a plus.

Familiarity with Java and Python a plus

Proficiency with a deep learning library (e.g., PyTorch, TensorFlow, or Keras) and deployment of models across languages a plus

Comfortable working within a team as well as heading up your own research initiatives

Responsibilities may include:

Understanding business objectives and developing models that help to achieve them, along with metrics to track progress

Analyzing DL algorithms that could be used to solve a given problem and ranking them by their success probability

Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Verifying data quality and/or ensuring it via data cleaning

Defining validation strategies

Training models and tuning hyperparameters

Analyzing errors of the model and designing strategies to overcome them

Why work for NovoDynamics?

Be part of a dynamic team that designs disruptive technologies for the Health Care industry

Receive great compensation and benefits

Work in downtown Ann Arbor near the University of Michigan campus

Enjoy free parking, popcorn, coffee, tea and soft drinks

Delight in an amazing work environment with interesting and engaged teammates

Relax with generous and flexible time off