דרושים » אלגוריתמים » Algorithm engineer בחברה מבוססת AI ו- Computer Vision

ML and Computer Vision Expert position for SAMPL lab at Weizmann institute.
The Signal Acquisition, Modeling, Processing and Learning (SAMPL) Lab at Weizmann Institute of Science (WIS), is looking for an experienced machine learning and computer vision expert to work on leading technology research projects in the field of medical imaging, computer vision, medical data and radar.
Experience with development of algorithms for medical imaging, use of image processing tools, computer vision, ML, state-of-the-art AI algorithms and deep learning frameworks (PyTorch, Tensorflow, Keras, etc.).
Candidates will work with leading medical institutions in Israel and around the world

We are seeking a hands-on Algorithms team lead who will initially join as a senior individual contributor and progress into a leadership role managing a team of up to 2 algorithms engineers. This role blends deep algorithmic innovation, product leadership, and emerging team leadership, driving the next generation of our core technologies.

Key Responsibilities

Lead the architecture, development, and optimization of advanced algorithms.

Drive innovation in 3D vision, robotics, and multi-view geometry.

Initially operate as a hands-on Algorithm engineer, owning core R D deliverables.

Gradually build and lead a small algorithms team (up to 2 engineers).

Translate product requirements into robust algorithmic solutions.

Collaborate closely with product, software, and system engineering teams.

Play a central role in shaping the companys core technology roadmap.

The Wolfe Center at the Weizmann Institute of Science, Israel, is hiring a computational researcher to develop ML/AI tools and investigate molecular mechanisms underlying neurodegeneration.
Projects are highly collaborative and will draw on various techniques, including deep learning for computer vision, statistical genetics, causal inference, and multi-omics studies.
In this position, you will initiate, lead, design, and implement AI/ML-driven biomedical studies with domain experts (biologists/clinicians). We integrate multidisciplinary biology and data science methods, real-world human clinical data, and molecular experiments. We aim to leverage AI/ML and develop powerful bio-medical predictive models. We also translate the molecular mechanisms we have discovered that underlie neurodegeneration into potential therapies.