Senior Computer Vision Engineer

Purpose/Summary:
We are currently seeking a Senior Computer Vision Engineer to join our top-notch Research & Development team. This is an exciting time to join us and to be part of a leading edge team that is pioneering a new era of Performance-Guided Surgery. You will help lead the development of a next-generation vision-assisted surgical robotics platform. As a researcher on the team, you will get a chance to work alongside some of the best minds in the field and implement the latest Machine Learning and Computer Vision algorithms, in a multidisciplinary and dynamic environment. We are looking for an individual who is a team player and a strong communicator. Someone who has great problem-solving skills, and who has a drive for creativity and innovation, as well as determination and persistence. Someone who has a deep understanding of algorithms and image processing and will take ownership of various Vision/deep learning/AI algorithms utilizing medical imaging data & sensory data through exploration, development, optimization, validation & integration.

ESSENTIAL DUTIES, RESPONSIBILITIES AND AUTHORITY:

• Work with a multi-disciplinary team of experts and engineers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment.
• Design and implement deep learning models to detect and classify various scenes, activities, and human-object interactions.
• Experiment with architectures such as CNNs, RNNs, transformers, and hybrid models suited for video tasks.
• Work on multimodal models if combining video data and the other sensors.
• Contribute to the team's methodologies, best practices and toolset, as well as sharing and receiving constructive feedback.
• Understand algorithmic requirements and convert these into usable solutions.
• Utilize existing research, literature and study of existing state of the art tools to develop best in class solutions.
• Develop mathematical and numerical tools to support development.
• Manage large amounts of data and process into usable information.
• Evaluate the performance on benchmarks and improve as necessary.

MINIMUM COMPETENCE (EDUCATION, EXPERIENCE AND SKILLS) REQUIREMENTS:
QUALIFICATIONS:

• MSc in Computer Science or related fields (EE, Math, Physics, etc.) Ph.D - Advantage.
• 5+ years of hands-on experience with Computer Vision algorithms.
• Strong background in machine learning and deep learning.
• Proficiency in C++ and Python.
• Ability to initiate and lead machine learning projects end to end.
• Experience with TensorFlow or PyTorch.
• Familiarity with IPP, OpenCV and similar libraries.
• Deep domain experience and hands-on knowledge or academic research background in at least one of the following is an advantage:

1. GNN
2. Scene Understanding
3. Video Understanding

• Experience with Linux.
• Ability to work in a team environment.
• Good verbal and writing capabilities in English.
• Read and understand the relevant literature and professional terms.
• Teamwork and high communication skills.

ADDITIONAL KNOWLEDGE, SKILLS AND ABILITIES (OPTIONAL):

• Experience with using LMM/VLM (Vision-Language) frameworks - Advantage.
• Familiar with ML tools such as W&B or ClearML - Advantage.
• Experience in a global medical device company - Advantage.
• Work in a multidisciplinary environment of the surgical robotic system.