לוח משרות דרושים פיזיקאים עבודה היברידית, לחיפוש זה נמצאו 3 משרות !

We're seeking an exceptional experimental Physicist who combines deep physics expertise with strong software engineering capabilities and interpersonal skills. In this role, you'll focus on developing and implementing automated calibration solutions for several computing partners while also serving as a solutions expert for our European customer base. You'll work at the intersection of physics and software engineering, translating complex calibration requirements into robust automation frameworks. This position offers unprecedented exposure to diverse qubit types and architectures, enabling you to create groundbreaking calibration solutions while helping customers implement computing experiments. Prior hands on experience on calibrating Superconducting qubits and good understanding of the underlying physics is strongly encouraged.
Responsibilities:
Design and implement automated calibration frameworks for computing systems
Collaborate with the strategic partner's team to optimize calibration workflows
Lead technical implementation and integration of QM solutions for customers
Provide technical guidance on best practices for control systems
Translate complex customer requirements into actionable technical solutions
Manage technical relationships with accounts throughout Europe
Contribute to customer education and training materials

We are looking for a Senior AI Researcher to join our foundation models team and help advance large-scale models for single-cell RNA (scRNA) data.

In this role, you will focus on training and improving transformer-based and deep learning models, developing algorithmic solutions to challenging modeling problems, and adapting modern foundation model techniques to biological data. This is a hands-on research position for someone who enjoys building and training deep models, understanding their behavior, and pushing them to perform better.

You do not need prior biology experience - but you should be excited to apply your deep learning expertise to a new scientific domain.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Develop, train, and refine transformer-based and related architectures for large-scale scRNA data.
Tackle challenging modeling problems with thoughtful, principled approaches.
Apply ideas from NLP and vision (pretraining, self-supervision, transfer learning) to biological data.
Plan careful experiments, perform ablations, and deeply analyze results to guide model improvements.
Engage directly with large, noisy biological datasets and build intuition for model behavior in this setting.
Partner with engineers, data scientists, and biology experts to turn research ideas into working systems.

we are looking for a Algorithm and Applied AI Scientist (DSP).
As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis.
A Day In Your Life:
Be the technical lead of an innovative project.
Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns.
Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
You will gain a deep proficiency in the industrial world and the connection between datasets to generate actionable insights.
Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights.
Partner with the product team and external customers to create data-driven solutions that address real-world business needs.