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Computer Vision Engineer

MMI

Pisa, IT
  • Job Type: Full-Time
  • Function: Engineering Software
  • Industry: Life Science
  • Post Date: 12/02/2021
  • Website: mmimicro.com
  • Company Address: Via del Paduletto, 10a, 56011 Paduletto PI, Italy

About MMI

Our team has a steadfast dedication to advancing surgery and patient care. We developed Symani®, a groundbreaking technology that addresses unmet patient needs and helps to enhance surgeons’ skills during delicate, complex procedures.

The Symani Surgical System combines proprietary innovations including NanoWrist® Instrumentation, the world’s smallest wristed microinstruments, as well as tremor-reducing and motion scaling technologies. Together, these powerful capabilities work to help enable more surgeons to perform microsurgery while expanding the field of supermicrosurgery.

Job Description

Want to join a motivated team of 70+ people who are dedicated to improving patient care through surgical robotics? MMI SpA is looking for people with a passion for innovation and a dedication to excellence.

At MMI we are building the future of microsurgery. The Symani platform provides the surgeon with the capability to operate on a small scale with ease and precision, thanks to the Symani platform and a variety of Instrument types.

 

We are seeking a Computer Vision Engineer to design and develop the vision capabilities of Symani investigating the challenges of real-time vision, deep learning techniques and effective advantage of these technologies for the end-user. The microsurgical setting provides additional challenges to the domain of vision for surgical robotics. Vision is an enabling technology for Symani providing the fundamental elements for Artificial Intelligence (AI) driven capabilities.

 

You will be working with the software and hardware teams of Symani R&D with the objective to transform research results into life-saving products.

 

An ideal candidate would:

 

Have built or worked with deep learning pipelines

Have the capability to transform a vision problem into a workable solution

Solid work and understanding of robotic and vision algorithms

Being capable of transforming algorithmic intuitions into training pipelines

 

Skills & Experience

  • fluency in Python, OpenCV, and knowledge of C++
  • experience in 3D computer vision and analysis like segmentation and classification
  • modeling and reconstruction from monocular and stereo cameras
  • understanding challenges of realtime vision
  • robotics experience is preferable
  • knowledge of the internal workings of hardware, camera and their logic
  • previous experience in a regulated environment is preferred
  • medical field or medical device experience is preferred
  • presentation and reporting skills

 

About MMI

MMI is dedicated to improving reconstructive options for surgeons and patients and has developed the first teleoperated robotic platform for open microsurgery. It offers the surgeon motion scaling and tremor elimination and aims to facilitate existing procedures as well as enable new ones in the domain of microsurgery, from post-oncological and trauma reconstructions to ophthalmology, organ transplantation and pediatric surgery.

 

What we offer

An exciting and challenging role based in Pisa, Italy. Working in a fun and growing company that is dedicated to improving patient care. The ability to learn new skills under the direction of the Lead Software Engineer with career advancement opportunities.

 

Economic offer

According to your experience and responsibilities we will give you;

 

Inclusive Welfare Plan;

Ticket restaurant

Company bonuses;

Training plan;

Work-life balance encouraged

 

Join Us

Are you seeking an opportunity to make a real difference in a med-tech company with the aim of improving patient care?

Join us and grow with a team of energy people who will motivate and inspire you!

 

Interested? We would love to hear from you!

 

 

MMI is committed to creating a diverse work environment and is proud to be an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, pregnancy, age, disability or other characteristics protected by law.

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