Computer Vision Engineer

Los Angeles, California

  Machine Learning



Our client is a dynamic early-stage startup focused on revolutionizing cardiovascular diagnostics through advanced machine learning (ML) algorithms. They are committed to enhancing patient outcomes by leveraging their extensive database of over 200 million individual echo and heart-related images.


Job Description:

We are seeking a passionate and talented Computer Vision Engineer, ideally straight out of a Ph.D. program, or early in your career, to join our growing team. The candidate will play a key role in developing and refining ML algorithms to analyze and interpret complex cardiac imagery. This position offers a unique opportunity to contribute to groundbreaking work in medical imaging and improve healthcare delivery.


Key Responsibilities:

  1. Develop and optimize machine learning algorithms for analyzing cardiac images.
  2. Collaborate with cross-functional teams to integrate these algorithms into our existing systems.
  3. Conduct thorough testing and validation of algorithms to ensure accuracy and reliability.
  4. Stay updated on the latest developments in computer vision and machine learning, particularly in medical imaging.
  5. Assist in the management and analysis of our extensive image database.
  6. Contribute to research and publish findings in leading scientific journals.



  1. Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with a focus on computer vision or machine learning.
  2. Strong programming skills in Python, C++, or similar languages.
  3. Experience with machine learning frameworks such as TensorFlow or PyTorch.
  4. Knowledge of medical imaging and cardiac anatomy is a plus.
  5. Excellent problem-solving and analytical skills.
  6. Strong communication and teamwork abilities.
  7. Demonstrated experience with computer vision/medical imaging, in industry or with academic projects.

Salary: $100-120k