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We are looking for a Senior AI Researcher to join Immunais 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 (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 Senior AI Researcher to work closely with our delivery team, translating real-world clinical and scientific questions into rigorous AI and machine learning solutions. In this role, you will lead the development of methodologies, models, and benchmarking frameworks that address complex clinical problems using our unique immune-cell data. Your work will directly impact how our partners understand biology, evaluate hypotheses, and make decisions.

Location: Ramat Gan (hybrid model).

What will you do?
Partner with the collaborations team and scientists to frame complex clinical and biological questions as well-defined data science and modeling problems.
Design, implement, and evaluate the right analytical and modeling approaches for each problem, including robust benchmarking and validation strategies.
Clearly communicate results, limitations, and tradeoffs to internal teams and external partners, enabling confident, data-driven decisions.
Establish best practices for rigor, reproducibility, evaluation, and documentation across delivery-focused data science work.
Work hand-in-hand with immunologists, computational biologists, AI scientists, and engineers to ensure solutions are scientifically sound and production-aware.
Translate modeling solutions into engineered and iterable products used by the internal collaborations team.

We are seeking a talented, self-driven, team-player, passionate Physicist to join our R&D team. In this role, you will develop and advance distributed fiber optic sensing technologies, combining theoretical modeling, simulations, fiber-optics systems design, and hands-on experimental work.

You will tackle complex physical challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative solutions from concept to real-world deployment.

This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.

What Youll Do:
Experimental and theoretical R&D work for the development of Prismas next generation distributed fiber optic acoustic sensing (DAS) electro-optic interrogation systems.
Gain unique end-to-end expertise across the full sensing system pipeline, spanning optical signal generation and propagation, coherent detection, DSP algorithms, and advanced data analysis.
Experimental Work to prove new concepts, develop innovative solutions for new products, and support current generations.
Develop software tools and simulations (Python/MATLAB/C++) for laboratory experiments, field data analysis, signal processing, and system modeling.
Collaborate with multidisciplinary R&D teams and projects.
Communicate effectively with technical and non-technical colleagues.

we are seeking an experienced and visionary Head of Research to lead, shape, and advance the future of AI innovation across the organization. In this role, you will own the research strategy end-to-end - from long-term roadmap design to hands-on exploration, and guide a multidisciplinary team of NLP research engineers and linguists toward breakthroughs that elevate our core medical coding engine.

You will play a key role in the company, balancing exploratory research with high-impact product delivery. You will partner with Product, Engineering, and executive stakeholders to identify strategic opportunities, drive prioritization, and translate research capabilities into real-world outcomes at scale.

Responsibilities:

Manage and mentor a multidisciplinary research team while driving both technical excellence and personal growth.
Define the long-term research roadmap aligned with product and business objectives.
Lead the full research lifecycle, from ideation and feasibility studies to experimentation, evaluation methods, and production-ready delivery.
Evaluate and introduce new research capabilities and emerging trends such as LLM-based reasoning, semantic/graph modeling, hybrid rule-learning, and other frontier techniques.
Continuously track scientific trends to maintain a state-of-the-art research practice.
Collaborate closely with Product and Engineering teams to translate domain challenges into algorithmic solutions with measurable product impact.
Represent the Research function at leadership forums, communicate priorities and outcomes, and align stakeholders around research strategies and milestones.

we're seeking a visionary Formal Verification Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, defining the formal verification strategy for chips that power the world's largest AI clusters.

As the Formal Verification Engineer, you will be a foundational member of our Israel R&D center. You wont just execute tasks; you will define the Formal verification strategy for chips that drive the worlds largest AI clusters. You will dive deep into the technical details, proving the correctness of complex designs and ensuring they flawlessly meet specifications.

Key Responsibilities

Own and develop formal verification environments from scratch through to sign-off
Apply formal verification methodologies and strategies to prove the correctness of intricate designs
Work closely with the Architecture, Design, and DV teams to identify verification needs and pinpoint design requirements
Create robust formal environments, analyze complex RTL designs, and apply advanced formal techniques to find corner-case bugs
Analyze verification results, identify failures, and collaborate directly with designers to resolve issues efficiently
Architect and develop generic, common formal functions and properties to be reused across multiple projects