Applied AI Researcher- Sovereign AI Research

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17/08/2026

Research Scientist - Sovereign AI Research

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Research Scientist - Sovereign AI Research.
We are hiring across the following specializations. We expect depth in at least one area and the intellectual range to collaborate across them.
Computer Vision: object detection, segmentation, multimodal grounding, vision-language models, contrastive and self-supervised representation learning, low-resource and few-shot visual recognition.
NLP / Speech: LLMs, NERs, relation extraction, span-based and generative IE, semantic textual similarity, multilingual and cross-lingual transfer.
Reinforcement Learning: MDPs, POMDPs, model-based and model-free RL, Online Offline methods, reward modeling, sim-to-real transfer, compute-aware planning.
Graph Learning: GNNs, graph clustering, community structure, generative methods, knowledge graph embeddings, dense and sparse semantic retrieval.
Optimization: convex and nonconvex optimization, constrained and Lagrangian methods, combinatorial and integer programming, knowledge distillation (response, feature, and relation-based), test-time optimization, Bayesian optimization, resource-aware inference.
Representation Learning: contrastive learning, self-supervised and unsupervised pre-training, disentangled representations, metric learning and embedding spaces, cross-modal and multimodal alignment, meta learning (hypernetworks), transfer learning and domain adaptation, probing and interpretability of learned representations, world models.
Neurosymbolic AI: neuro-symbolic integration, differentiable theorem proving, inductive logic programming (ILP), probabilistic soft logic (PSL), causal inference and structural causal models (SCMs), programmatic and compositional reasoning
Responsibilities:
Define and execute a research within your track, experiments, quality gates, and upper bounds in rigorous manner.
Collaborate across tracks on system integration and cross-disciplinary research.
Collaborate work with engineering teams until production.
Mentor junior researchers and contribute to a culture of technical excellence

Requirements:
PhD in Computer Science, Electrical Engineering, Mathematics, or a related field OR a Distinguished MSc with a strong publication record or demonstrated research impact equivalent to doctoral-level work (5+ years of experience).
Strong publication record at top venues (NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, EMNLP, AAAI, or equivalent)
Proficiency in Python and deep learning frameworks (PyTorch, JAX)
Demonstrated ability to drive independent research projects end-to-end
Hands-on experience with data pipelines: sourcing, structuring, cleaning, and transforming raw data into training-ready assets is treated here as a core research competency, not a support task

This position is open to all candidates.

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28/07/2026

Applied AI Scientist - On Site

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a hands-on Applied AI Scientist to join our core R&D team and drive the development of next-generation AI systems for autonomous driving. This role sits at the intersection of applied research and deployment. This role sits at the intersection of applied research and deployment. You will work directly on our multi-layered autonomy architecture, with a primary focus on real-time predictive models for driving decisions. A deep technical role for someone who thrives on turning cutting-edge research into real, working systems under hard constraints.

Responsibilities:
Own the research-to-deployment cycle for driving models - from literature review and prototyping through to production integration.
Design, implement, and iterate on real-time predictive models, including vision-language-action (VLA) models.
Collaborate on reasoning systems, contributing to VLA models that handle planning across varied horizons.
Bridge cloud-scale training with edge deployment - work on model compression, quantization, speculative decoding, and efficient inference for embedded automotive platforms.
Evaluate and integrate state-of-the-art techniques from the broader AI research community into our autonomy stack.
Collaborate closely with internal R&D teams to unblock technical challenges, accelerate delivery, and raise the overall technical bar.

Requirements:
Requirements:
Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related field (an MSc with an exceptional background will also be considered).
Strong publication or deployment track record in one or more of: deep learning, computer vision, generative AI, reinforcement learning, or motion prediction.
Demonstrated ability to go from paper to working implementation - not just theory, but shipped systems.
Strong coding skills in Python; experience with C++ is a plus.
Familiarity with modern ML infrastructure: PyTorch, ONNX, Triton, Dynamo, distributed training, model optimization.
Solid mathematical foundations in probability, optimization, and statistics.

Attributes:
Experience with CUDA or low-level GPU optimization.
Hands-on work with model quantization, distillation, or efficient inference on edge devices.
Background in real-time, safety-critical, or embodied AI systems (robotics, autonomous vehicles, drones, etc.).
Experience with foundation models (Language, Vision, Tabular, VLAs) and their on-device deployment.
Familiarity with driving datasets, simulation environments, or sensor fusion pipelines.

This position is open to all candidates.

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03/08/2026

AI Researcher - Foundation Models & Generative AI - Base44

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a highly accomplished AI Researcher to be part of the development of next-generation Foundation Models and Generative AI systems. In this role, you will bridge the gap between cutting-edge academic research and production-grade AI infrastructure. You will build, design, and fine-tune large-scale architectures (including LLMs, Multimodal, and Tabular Foundation Models) while applying them to complex, real-world domains like agentic behavior, coding and decision making.
In your day-to-day, you will:
Conduct pioneering research in deep learning and generative AI, specializing in Foundation Models, NLP, alignment, and multimodal learning
Deal with the impact of the models on production traffic, cost quality and latency
Train and scale state-of-the-art architectures using techniques like Post-Training SFT, Knowledge Distillation, LoRA, and sparse/hybrid model architectures
Own the AI lifecycle-from algorithmic prototyping and synthetic data generation to deploying production-grade AI features in fast-paced or big-data environments
Drive research initiatives, author publications/patents, and collaborate with other research teams to integrate intelligent capabilities into core products.

Requirements:
5+ years of experience as a Research Scientist or Algorithm Developer within world-class AI labs or high-growth GenAI startups
Ph.D. or Masters degree with honors in computer science, data science, statistics, or a highly quantitative field from a top-tier institution
Expert-level proficiency in PyTorch and deep learning training/inference optimization
Hands-on experience training, fine-tuning, or optimizing large-scale LLMs in research or production environments
Advanced programming skills in Python and/or C/C++ with experience in production-grade code and big data infrastructure
A portfolio of peer-reviewed publications in top-tier AI/ML venues or granted patents in advanced machine learning systems.

This position is open to all candidates.

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8765683

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28/07/2026

AI Researcher - World Model

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Our breakthrough World Model technology combines aerial imagery with real-time ground views to build an accurate, rich representation of the vehicle's environment. As part of our World Modeling team, you will drive the next generation of AI-powered, cloud-defined vehicle technology-tackling ambitious research and turning cutting-edge deep learning into real-world solutions.

Responsibilities
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

Requirements:
Requirements:
M.Sc. in Computer Science / Electrical Engineering from a leading university. Ph.d - Advantage.
3+ years of hands-on experience in deep learning and computer vision in Python.
Proven ability to train and deploy neural networks with high performance and efficiency.
Full-time availability at our Tel Aviv HQ.

Advantages:
Proven track record of writing and publishing papers in top-tier deep learning or computer vision conferences or journals.
Experience with classical Computer Vision algorithms (e.g. homography, PnP, feature matching).
Experience developing optimized, real-time code for edge devices.

This position is open to all candidates.

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8757478

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17/08/2026

Senior Applied Researcher- AI Research

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a Senior Applied Researcher/ Data Scientist to join core product organization, where you will build and deploy next-generation AI models powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). The role centers on building and scaling intelligent systems powered by LLMs, advanced ML techniques, and agent-based architectures.
You will join a team within Cyber R&D organization, leading the companys core product portfolio-while driving AI innovation and setting best practices across the domain. The group focuses on developing next-generation technologies, including training and optimizing LLMs and building advanced multi-agent workflows, while mentoring data scientists across R&D.
As a key technical leader, you will guide the evolution of our AI capabilities-converting cutting-edge ideas into impactful, production-ready systems and shaping our long-term direction.
We are looking for visionary applied researchers eager to take on ambitious challenges and push the boundaries of AI in cybersecurity.
The Responsibilities:
Design and build advanced AI models and systems that power core products and address real-world cybersecurity challenges.
Own initiatives end-to-end from identifying customer-driven problems and shaping solutions to experimentation, prototyping, and production deployment.
Drive forward new ideas and research directions, turning emerging concepts into practical, scalable solutions.
Influence the organizations roadmap and contribute to long-term technical strategy across AI and product landscape.

Requirements:
5+ years of experience as an applied researcher with proven production-level impact.
Masters degree in Computer Science, Mathematics, Statistics, or Engineering (PhD is a plus, but not required).
Experience in applied research, including work with Transformers, open-source LLMs, or other advanced deep learning architectures.
Strong programming skills in Python, with hands-on experience in modern ML frameworks and tooling.
Excellent problem-solving skills and a strong experimental mindset.
Strong communication skills and the ability to collaborate effectively across teams.
High curiosity and a passion for learning new technologies, methods, and domains.

This position is open to all candidates.

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8785061

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11/08/2026

Research Engineer, Fundamental AI Research (FAIR) - Generative Models/LLM Acceleration

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Our Fundamental AI Research (FAIR) organization is seeking a Research Engineer to drive advancements in generative models. The role involves working across the full spectrum of research, engineering, and optimization for frontier model efforts.
Research Engineer, Fundamental AI Research (FAIR) - Generative Models/LLM Acceleration Responsibilities
Innovate, lead, and execute pioneering algorithmic research to push the state-of-the-art in generative models and LLM performance
Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results
Collaborate with cross-functional teams (research, product, infra) to build new and advance LLM optimization
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Lead initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Take a significant role in components, features, or systems with good end-to-end understanding
Contribute to publications, open-sourcing initiatives, and mentor other team members.

Requirements:
Minimum Qualifications
Master's degree or higher in a relevant technical field (e.g., Computer Science, Machine Learning, AI, or related discipline)
6+ years of experience in machine learning, deep learning, or AI research, or equivalent practical experience
Experience designing and implementing large-scale model training pipelines using frameworks such as PyTorch or JAX
Experience with distributed computing and parallel training techniques including data parallelism, model parallelism, or pipeline parallelism
Experience debugging and optimizing AI systems for performance, reliability, and correctness across the full model lifecycle
Preferred Qualifications
Experience building evaluation frameworks and benchmarking pipelines to measure model quality and capability regressions
Experience with large language model pretraining, fine-tuning, post-training, or inference optimization
Track record of contributions to peer-reviewed AI research publications or open-source AI frameworks.

This position is open to all candidates.

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8777020

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11/08/2026

AI Research Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Code Generation and LLMs reasoning with specific focus on reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
AI Research Scientist Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in agentic code generation
Work towards long-term ambitious research goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Mentor other team members. Play a significant role in healthy cross-functional collaboration.

Requirements:
Minimum Qualifications
Currently has or is in the process of obtaining a PhD in the field of Computer Science, Mathematics, or similar quantitative field
First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR)
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Experience working with SOTA RL codebases and familiarity with one or more deep learning frameworks (e.g. pytorch, VERL, )
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
Interested in real-world code generation and AI for software engineering
Enthusiastic about world models.

This position is open to all candidates.

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8777026

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4 ימים

Senior Delivery Consultant - AI/ML - Application Development, Professional Services Israel

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an experienced Senior Delivery Consultant - Modernization with deep expertise in Artificial Intelligence to join our Professional Services (ProServe). This role combines strategic architectural vision with hands-on technical leadership to deliver innovative AI solutions that drive customer success and business transformation across diverse industries and use cases.

Key job responsibilities
* Architecture & Design: Design and architect end-to-end AI-powered application solutions aligned with customer business objectives and technical requirements.
* Define application architecture patterns, standards, and best practices for AI/ML integration on us.
* Create technical roadmaps for customer AI application development and modernization initiatives
* Evaluate and recommend AWS AI/ML services and technologies including our Bedrock, SageMaker, and generative AI solutions
* Design data pipelines and ETL processes to support AI model training and inference using AWS services
* Customer Engagement & Consulting:
Lead customer engagements from discovery through implementation, serving as trusted technical advisor
* Conduct AI readiness assessments and develop adoption strategies tailored to customer maturity levels
* Facilitate architecture workshops and design sessions with customer stakeholders
* Deliver Well-Architected reviews focused on AI/ML workloads
* Build strong relationships with customer technical teams and executive leadership
* Guide customers in constructing AI processes aligned with AWS best practices
* Technical Leadership: Lead cross-functional teams in implementing AI solutions from concept to production
* Provide technical guidance on AI model integration, deployment strategies, and optimization on AWS
* Conduct architecture reviews ensuring solutions meet scalability, performance, security, and cost-efficiency requirements
* Mentor customer teams and junior ProServe consultants on AI best practices and AWS technologies
* Collaborate with data scientists, ML engineers, and software developers to translate AI models into production applications
* AI Solution Development: Design architectures for generative AI applications including RAG (Retrieval-Augmented Generation) systems, chatbots, and intelligent agents using Amazon Bedrock
* Architect real-time and batch AI inference pipelines with appropriate monitoring and observability
* Implement MLOps practices using SageMaker for model versioning, deployment automation, and continuous improvement
* Design solutions for responsible AI including bias detection, explainability, and governance frameworks
* Optimize AI application performance, cost, and resource utilization across AWS services
Knowledge Sharing & Thought Leadership
* Develop reusable assets, reference architectures, and best practice documentation
* Contribute to AWS ProServe knowledge base and customer-facing content

דרישות:
Basic Qualifications
- 10+ years of software development experience.
- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Knowledge of programming languages such as C/C++, Python, Java or Perl.
- Master's degree in computer science, engineering, mathematics or equivalent, or experience in defining and creating benchmarks for assessing GenAI model performance.
- Understanding of various AI domains: NLP, computer vision, recommendation systems, predictive analytics.
- Willingness to travel to customer sites as needed.

Preferred Qualifications
- Certified Machine Learning Specialty or AI Practitioner or Generative AI - Associate.
- Contributions to open-source AI projects or published research.
- Experience with responsible AI frameworks, governance practices, and compliance requirements.
- Prior experience in ProServe, consulting, or systems integrati המשרה מיועדת לנשים ולגברים כאחד.

עדכון קורות החיים לפני שליחה

8802053

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04/08/2026

Software Engineer, AI Networking Architect

חברה חסויה

Location: Tel Aviv-Yafo and Yokne`am

Job Type: Full Time

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.

What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence our future networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.

Requirements:
What we need to see:

B.Sc. Or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

3+ years of relevant industry or research experience.

Strong machine learning or data science background, with hands-on experience in LLMs, generative AI, or deep learning systems.

Strong systems-level thinking, capable of estimating end-to-end requirements across the AI stack.

Shown ability to translate research findings and product requirements into clear software and hardware specifications.

Excellent research skills, including the ability to digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced programming skills for performance modeling, data analysis, and prototyping.

Excellent communication skills, demonstrating proficiency in presenting complex technical findings clearly and confidently.

Ways to Stand Out from the crowd:

Experience with distributed training, distributed inference, or large-scale AI serving systems.

Experience in Agentic programming, and AI tools

Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8767980

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16/08/2026

AI Applied Scientist - Insights & Recommendations

חברה חסויה

Location: Tel Aviv-Yafo and Haifa

Job Type: Full Time and Hybrid work

we are looking for a AI Applied Scientist - Insights & Recommendations.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research, and develop cutting-edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team , you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the world's technologies, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Combine classic methods with inference techniques: statistics, Time series, Deep learning, anomaly detection, Recommendation Systems, Transformers, and Inference to extract data-driven insights.
Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications, and other various data sources.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Leverage modern technologies: work with cloud-based big data platforms for storage, distributed processing, LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.

Requirements:
M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
5+ years of experience in ML applications in modeling Time-series data, & ML-based vectoring, and Embeddings for insight & recommendations systems (Transformers included) - Mandatory
2+ years of experience in LLM and Agentic applications, Eval tools, methods, and workflows (HITL, LLM-as-a-judge, deterministic, Metrics & Embeddings), Fine-Tuning, and AI workflows and lifecycle (e.g. LangSmith, CrewAI, LangGraph, Embedding (BERT, w2v, FastText, FastEmbed, GloVe, etc.), Tokenizations (GPT. TikToken, Token validators, etc.), & Vector Similarities & search methods
Proficiency in Python for model development, deployment, and monitoring.
Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning.
Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams.
The ability to translate research into scalable, production-ready solutions.
Experience in anomaly detection and AI/ML - an advantage.
Experience in feature engineering-based signal processing - an advantage
Experience in optimizing costs of API calls - Nice to have

This position is open to all candidates.

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