Machine Learning Engineer

Location: Los Altos, California

We are looking for a highly collaborative Machine Learning Engineer to join our growing team defining the algorithms used for automated MRI data-collection workflows that could revolutionize MRI.

Job Summary

In this role, the successful applicant will:

  • Build state-of-the-art machine-learning models that assist the user in collecting and analyzing MRI data

  • Develop strategies for working with a large and growing database of clinical medical image data

  • Implement reusable abstractions for applying machine learning to MRI data collection and analysis

  • Validate and optimize models and their parameters, including error estimation

  • Identify new opportunities for applying learning techniques within our unique platform

  • Educate team members in your areas of expertise while also learning from their experience

  • Interact with customers and external researchers via presentations and publications


  • Bachelor’s degree in a quantitative field (statistics, engineering, computer science, math, etc.)

  • Strong grasp of various machine learning/statistical modeling techniques and data analysis tools

  • Strong experience with Python and C++, or the ability to learn them quickly

  • Experience with deep learning tools (e.g., TensorFlow, Caffe, Keras, etc.)

  • Experience with image processing & analysis (segmentation, classification)

  • Excellent interpersonal, technical writing, and communication skills

  • Collaborative and a self-motivated problem solver

Desired Characteristics

  • M.S. or Ph.D. in related field

  • Experience with cloud computing (AWS, Google Cloud, Azure, etc.)

  • Experience with medical image analysis, particularly MRI

  • Experience with software development processes in a regulated industry

  • 2+ years experience working in industry

Compensation and Benefits

HeartVista, Inc. is an equal opportunity employer and offers a competitive compensation package and benefits. The benefits include medical, dental, vision, long-term disability, life and AD&D insurance, paid time-off, holiday pay, health and dependent care flexible spending accounts, and a 401(k).

Apply Now!

Send your resume to including relevant publications