Machine Learning S/W Engineering Intern
Pleasanton, CA 
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Posted 10 days ago
Job/Internship Description
Machine Learning S/W Engineering Intern

Why Join Bracco Medical Technologies?

We care as much about our employees as we do our patients. Our culture fosters a work environment where employees can thrive, be passionate and have fun along the way. Each member of the Bracco Medical Technologies team has the power to make a difference......every day!


Position Description

Company Overview

Bracco Medical Technologies employees are proud to help cardiologists, radiologists and other medical specialties visualize, assess, and improve patient treatment. We are currently seeking intern/co-op candidates to learn with us as they engage in a variety of hands-on projects alongside our high-performing and authentic engineering team. Help us achieve our goal of improving the lives of 75 million patients by 2025!

Bracco Medical Technologies is a pioneering interventional and diagnostic technology company with a portfolio of advanced products, including the world's first Rapid Exchange FFR and High Definition IVUS systems. We are also a global market leader in advanced contrast imaging systems for cardiovascular angiography and diagnostic imaging. As part of the Bracco Group, Bracco Medical Technologies benefits from the resources of a multinational conglomerate with broad expertise in cath lab and radiology suite technology and a dedication to continuous advancement.

Position Summary

The Machine Learning Engineering Intern will support the development, testing and integration of machine-learning algorithm of medical devices. This individual will work closely with our principal and senior level engineers to develop tests for medical devices.

Responsibilities:

  • Design, prototype, develop, and test the machine-learning based image processing algorithms
  • Design Python/MATLAB GUI tools as image/signal processing prototyping toolkits
  • Support to the integration of machine learning algorithm to products
  • Documentation for all phases of product development
  • Routine communication with peers and supervisors including documentation of work, meetings, and decisions

Training to be Provided

Students will be exposed to working with various product development and R&D departments within the Bracco Medical Technologies (BMT) organization. They will learn key requirements which need to be followed in a regulated environment such as the medical device industry.

Additionally, our interns and co-ops benefit from a buddy program, career development programming, and opportunities to build their professional networks virtually and in-person with BMT professionals.

Qualifications

Required:

  • Background in image and signal processing
  • Depth of knowledge in deep neural network such as CNN
  • Experience with deep learning frameworks (e.g., TensorFlow)
  • Knowledge/experience with Python programming
  • Proficiency in MATLAB
  • Strong interpersonal and communication skills
  • Passion to learn and good attitude
  • Knowledge/experience developing GUI is a plus
  • Basic debugging and troubleshooting skills

Preferred:

  • Graduate students (either M.S. or Ph.D.) in Computer Engineering, Computer Science, Electrical Engineering or related field
  • Experience with image processing algorithms

Job Location

  • Pleasanton, CA (mostly remote but occasionally in-person at the Pleasanton office)

Term/Hours

  • Summer 2024, May start
  • Hours: 40 hours per week

To learn more about Bracco Medical Technologies, please visit our website at: .

Bracco Medical Technologies is an equal opportunity/affirmative action employer.


Job Location
6800 Koll Center Parkway, Suite 180, Pleasanton, California

Tracking Code
1254-432

ACIST Medical is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

 

Position Summary
Start Date
As soon as possible
Employment Type
Full Time
Period of Employment
Open
Type of Compensation
Paid
College Credits Earned
No
Tuition Assistance
No
Required Student Status
Open
Preferred Majors
Other
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