Asensus Surgical is currently seeking a Senior Computer Vision Researcher to join our top-notch Research & Development team in Israel.
This is an exciting time to join Asensus 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.
Who We Are
As a medical device company, Asensus is digitizing surgery to pioneer a new era of Performance-Guided Surgery. Utilizing robotic technology to improve minimally invasive surgery in ways that matter to patients, physicians, surgical staff, and hospitals and enabling consistently superior outcomes and a new standard of surgery. Our employees are especially passionate about the work they do and thrive in a collaborative environment that fosters creative solutions to complex problems. The work is challenging, but everyone comes to Asensus Surgical looking for a fulfilling career, and that's exactly what they find.
What You Bring
What You’ll Do
What We Offer
At Asensus Surgical, we believe in contributing to a society that welcomes diverse voices and values differences in lived experiences, culture, religion, age, gender identity, sexual orientation, race, ethnicity, and neurodiversity. We are committed to ensuring this same environment for our employees – a culture where individuals feel safe, heard, and respected. We celebrate the uniqueness of our global workforce and know that only through inclusion, ongoing learning, and partnership can we succeed. Together we are all stronger
Buildots is revolutionizing the construction sector by introducing advanced AI and Computer Vision technologies into the traditional construction world. The platform seamlessly transforms construction sites into digital environments, where data is the key for saving time and minimizing costs.
The product is already live on sites in over 10 different countries, creating tremendous value for our clients and users. The Company is backed by a top-notch investors team that includes VCs, construction industry leaders and well-known angel investors.
Our algorithms team is responsible for all of the core deep learning and computer vision challenges the company is facing. It is leading the research and implementation of our algorithmic engine analysing large streams of visual data from construction sites, together with 3D models.
The team delivers creative and immediate short-term solutions to needs rising from clients, together with longer-term strategic research for fulfilling our vision.
What you'll do:
bonus points for:
Were you ever stuck in traffic, wondering why jams are still a thing in 2021? We were thinking that too!
That’s why we’re building software to solve traffic jams. Our team creates state of the art machine learning algorithms, computing traffic patterns and preventing jams before they accumulate.
We aren’t looking for gurus or Jedis – but we are looking for down to earth deep learning/computer vision engineers who are fast learners, with an appetite for cutting-edge AI tech and strong motivation to solve the traffic problem.
– B.Sc/M.Sc Electrical engineering / Computer science
– Knowledge in unsupervised machine learning algorithms
– Knowledge in object detection using deep neural network
– Knowledge in math
– Fluency Tensorflow, Python, and English 😉
– Familiarity with Linux environments
Nice to haves:
– Experience in DNN and CNN product deployment
– Fluency in C++, CUDA
– Experience in data-driven system development
– Understanding of deep learning architecture / Tensorflow / Pytorch
– Experience with OpenShift, Kubernetes, Jenkins cloud platforms
ISI is looking for a talented computer vision applied researcher to join the Research and Innovation algorithms team. The research and innovation team takes care of the entire lifecycle of ISI's satellite imagery, from target recommendation, auto satellite planning, image processing, image enhancement and augmentation, and deriving value added products from the image itself such as object detection and classification, segmentation, change detection, 3d reconstruction, and fusion with more sources of data. Every member of our team can take part in any part of the imagery lifecycle path. We also submit papers and participate in top AI conferences.
Datagen is seeking a Senior Applied AI Scientist to solve the most challenging algorithmic challenges that the company is facing. The company solves the largest and most challenging problem in modern computer vision — acquiring labelled data at scale — by developing proprietary state-of-the-art technologies for photorealistic simulations of the real world. For this role, we are seeking an experienced scientist capable of leveraging state-of-the-art AI techniques (deep generative models, neural networks interpretation, etc…) to tackle our most challenging AI projects.
In this role, you will:
For this role, you must have:
Extra preference will be given to candidates with:
GRIN is an award-winning early stage start-up. It’s mission is to reduce the cost and complexity of dental-orthodontist care. And it is doing so with disruptive technology as well as first-of-it’s-kind market approach. Grin is building a multi-sided platform that gives users a radically convenient customer journey, and empowers doctors to deliver patient centric, responsible care for all types of smiles.
The algorithms team is using state-of-the-art algorithms to help the patient and the orthodent with the medical monitoring of the treatment process. This goes from real-time feedback for the quality of the teeth video scanning through offline video analysis and enhancement to heavy-lifting highly accurate 3D reconstruction of the teeth from a 2D video. The algorithms team is composed of top-notch researchers with multidisciplinary capabilities in the fields of computer vision, machine learning, deep learning, optimization and 3D reconstruction.
If this fits your description, you belong with us!!
We're looking for a Researcher with a strong background in machine learning and artificial intelligence with a passion for the medical domain to join our Haifa team.
Strong Computer vision and/or NLP background is an advantage.
Would you like to work on meaningful research focused on cancer understanding?
Our team is developing novel algorithms for the improvement of healthcare. We automatically analyze medical images and patient's medical records to help clinicians make better decisions.
Required Technical and Professional Expertise:
Vimeo is looking for a Machine Learning Researcher to join the Video Insights team.
Vimeo’s platform provides the highest quality video tools for filmmakers, businesses, and video enthusiasts around the globe. Video Insights team delivers services and products that help Vimeo users make effective videos, by applying Artificial intelligence (AI) technologies connecting the content and it’s online performance.
It is a great opportunity to join a core founding team and take part in shaping the AI movement within Vimeo.
What you’ll do:
Skills and knowledge you should possess:
Come and join our growing Algo team and work in a fast paced startup-like environment.
In Aug. 2017 Nielsen acquired ‘vBrand’, an AI-powered sports marketing startup.
Acquisition leveraged lots of algorithmic challenges.
We are looking for an excel algo engineer, which is an independent thinker, a ‘can-do’ attitude and a team player to join our forces, motivated to drive technological and cultural change.
What will you do: