What are the responsibilities and job description for the Machine Learning Software Engineering Co-op position at Bracco Medical Technologies?
At Bracco Medical Technologies, every employee has an impact on our Mission to empower lifesaving
decisions. We create medical devices that give healthcare providers the
insights they need to confidently and safely diagnose patients. Our unique line
of products includes Intravascular Ultrasound (IVUS), Fractional Flow Reserve
(FFR), Cardiovascular Imaging contrast delivery (CVi), and CT and MRI contrast
delivery systems.
Company Overview
At Bracco Medical Technologies, every employee has an impact on our Mission to empower lifesaving decisions. We create medical devices that give healthcare providers the insights they need to confidently and safely diagnose patients. Our unique line of products includes Intravascular Ultrasound (IVUS), Fractional Flow Reserve (FFR), Cardiovascular Imaging contrast delivery (CVi), and CT and MRI contrast delivery systems. 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.
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 R&D team.
Position Summary
The Machine Learning Software Engineering Co-op will support the development, testing, and integration of machine-learning algorithms for 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 machine-learning based image segmentation and object detection algorithms
- Design dataset labeling GUI tools in Python/MATLAB
- Support the integration of machine learning algorithms 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.
Required:
- Background in image and signal processing
- Depth of knowledge in deep neural networks such as CNN
- Experience with deep learning frameworks (e.g., TensorFlow, Pytorch)
- Knowledge/experience with Python programming
- Strong interpersonal and communication skills
- Basic debugging and troubleshooting skills
- Passion to learn and good attitude
Preferred:
- Graduate students (either M.S. or Ph.D.) in Computer Engineering, Computer Science, Electrical Engineering or related field
- Knowledge/experience developing GUI applications in MATLAB and PyQT
- Experience implementing dataset processing pipelines for machine learning applications
- Experience contributing to Azure DevOps projects
- Experience with image processing algorithms
- Proficiency in MATLAB
Job Location
- Pleasanton, CA (mostly remote but occasionally in-person at the Pleasanton office)
Term/Hours
- Term: Spring/Summer/Fall of 2025 start, 2-3 semester rotation, can be consecutive or non-consecutive semesters.
- Hours: 20 hours per week during the semester, and 40 hours per week during the summer
To learn more about Bracco Medical Technologies, please visit our website at: https://careers.braccomedtech.com.
Bracco Medical Technologies is an equal opportunity/affirmative action employer.
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.
