דרושים » מדעים מדוייקים » Senior Physicist /Algorithms Engineer

Required Lead Clinical Applications Engineer
Job Description Summary
The Lead Clinical Applications Engineer is a role within R&D, focused primarily on new product introduction and continuous improvement of post-market PET‑CT imaging systems and related software. The role provides clinical and application expertise to product and engineering teams, ensuring solutions meet clinical needs, deliver strong image quality and quantification, and perform reliably in real‑world use.
Working closely with R&D, system engineering, product management, service, and field teams and customers, this role translates clinical needs, customer feedback, and usage insights into practical system and software improvements, while supporting resolution of complex clinical and application‑related issues.
Job Description
Lead Clinical Applications Engineer - PET‑CT R&D
Key Responsibilities
Serve as a clinical reference for PET‑CT applications and workflows within R&D programs.
Support investigation of selected complex customer or field issues, translating findings into actionable inputs for product improvement.
Interface with product, software, algorithms, system engineering, hardware, UX, service, and field organizations as needed.
Translate clinical use cases and user needs into system and software requirements in collaboration with engineering teams.
Support design and validation of PET‑CT applications, reconstruction methods, and workflow solutions.
Provide clinical input to decisions impacting image quality, quantification accuracy, dose, and user experience.
Participate in evaluation of AI‑enabled PET‑CT features, supporting clinical validation and performance claims.
Contribute to usability, clinical validation, and regulatory‑related documentation as required.

Join our company's REM (Road Experience Management) department - the team driving the automatic creation of High-Definition maps, a cornerstone technology behind our company's autonomous driving and advanced driver-assistance systems.
REM map creation leverages cutting-edge algorithms executed at massive scale using Big Data technologies, requiring both a deep understanding of the map creation pipeline and strong technical expertise.
You will be part of our Priority Semantics algorithmic team, focused on understanding right-of-way rules and interactions derived from traffic signs, road structures, and driving behavior.
The team uses cutting-edge technologies, including Graph Neural Networks (GNNs) and data-driven learning techniques, to model complex driving scenarios and extract meaningful insights from large-scale real-world driving data.
This role requires a deep understanding of the data itself, modeling complex semantics, and extracting insights using learning-based approaches to accurately represent real-world driving priorities.
What will your job look like?
Design, train, and evaluate cutting-edge deep learning models on REM proprietary map data
Perform high-scale, large-volume data analysis
Integrate new map-based algorithms with full ownership
Develop tools that enable fast and effective data introspection
Optimize models and results where needed.

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.
Location: Haifa \ Tel-Aviv in hybrid model.
Responsibilities
Develop advanced ML algorithms using data from our Agents embedded in silicon. Example domains include:
Lifetime predictions
Clustering and dimensionality reduction
Parametric modeling and screening
Time-series forecasting
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.