LLM Acceleration

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8777020

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חברת השמה / כח אדם

1 ימים

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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05/07/2026

Senior ML Research Engineer 25769

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Join our companys AI research group, a cross-functional team of ML engineers, researchers and security experts building the next generation of AI-powered security capabilities. Our mission is to leverage large language models to understand code, configuration, and human language at scale, and to turn this understanding into security AI capabilities which will drive our company AI future security solutions.
We foster a hands-on, research-driven culture where youll work with large-scale data, modern ML infrastructure, and a global product footprint that impacts over 100,000 organizations worldwide.
Key Responsibilities
Your Impact & Responsibilities
As a Senior ML Research Engineer, you will be responsible for the end-to-end lifecycle of large language models: from data definition and curation, through training and evaluation, to providing robust models that can be consumed by product and platform teams.
Own training and fine-tuning of LLMs / seq2seq models: Design and execute training pipelines for transformer-based models (encoder-decoder, decoder-only, retrievalaugmented, etc.), and fine-tune open-source LLMs on our company-specific data (security content, logs, incidents, customer interactions).
Apply advanced LLM training techniques such as instruction tuning, preference / contrastive learning, LoRA / PEFT, continual pre-training, and domain adaptation where appropriate.
Work deeply with data: define data strategies with product, research and domain experts; build and maintain data pipelines for collecting, cleaning, de-duplicating and labeling large-scale text, code and semi-structured data; and design synthetic data generation and augmentation pipelines.
Build robust evaluation and experimentation frameworks: define offline metrics for LLM quality (task-specific accuracy, calibration, hallucination rate, safety, latency and cost); implement automated evaluation suites (benchmarks, regression tests, redteaming scenarios); and track model performance over time.
Scale training and inference: use distributed training frameworks (e.g. DeepSpeed, FSDP, tensor/pipeline parallelism) to efficiently train models on multi-GPU / multi-node clusters, and optimize inference performance and cost with techniques such as quantization, distillation and caching.
Collaborate closely with security researchers and data engineers to turn domain knowledge and threat intelligence into high-value training and evaluation data, and to expose your models through well-defined interfaces to downstream product and platform teams.

Requirements:
What You Bring
5+ years of hands-on work in machine learning / deep learning, including 3+ years focused on NLP / language models.
Proven track record of training and fine-tuning transformer-based models (BERT-style, encoder-decoder, or LLMs), not just consuming hosted APIs.
Strong programming skills in Python and at least one major deep learning framework (PyTorch preferred; TensorFlow).
Solid understanding of transformer architectures, attention mechanisms, tokenization, positional encodings, and modern training techniques.
Experience building data pipelines and tools for large-scale text / log / code processing (e.g. Spark, Beam, Dask, or equivalent frameworks).
Practical experience with ML infrastructure, such as experiment tracking (Weights & Biases, MLflow or similar), job orchestration (Airflow, Argo, Kubeflow, SageMaker, etc.), and distributed training on multi-GPU systems.
Strong software engineering practices: version control, code review, testing, CI/CD, and documentation.
Ability to own research and engineering projects end-to-end: from idea, through prototype and controlled experiments, to models ready for integration by product and platform teams.
Good communication skills and the ability to work closely with non-ML stakeholders (security experts, product managers, engineers).

This position is open to all candidates.

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8722813

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02/08/2026

AI Researcher & Developer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for an AI Researcher to help build the intelligence behind our AI security platform.
This is a hands-on research role focused on understanding how modern large language models and AI agents behave, identifying new attack vectors and protection techniques, and translating cutting-edge research into production-ready capabilities. The intelligence developed by this team is a core differentiator of our platform and a key driver of the company's success.
You will work at the intersection of machine learning, LLMs, and cybersecurity, partnering closely with AI engineers and product teams to develop technologies that directly power our product. We're looking for someone who enjoys understanding how neural networks and foundation models work, pushes the boundaries of AI research, and is excited to see their work deployed into production and used by customers.
What you will do
Research the behavior, capabilities, and limitations of modern large language models and AI agents.
Design novel techniques for detecting, evaluating, and proactively protecting against AI threats, prompt injection, model misuse, and emerging attack vectors.
Develop new approaches for securing AI systems and improving the intelligence that powers our platform.
Design and run experiments to evaluate model behavior, validate new ideas, and measure the effectiveness of protection techniques.
Build research prototypes and turn them into production-ready capabilities.
Work closely with Product and Engineering to translate research into scalable product features.
Stay current with advances in LLMs, foundation models, post-training techniques, AI security, and AI safety.
Contribute to the long-term technical direction of our company's AI security platform.

Requirements:
3+ years of experience in AI research, applied machine learning, or a related field.
Strong understanding of deep learning, neural networks, transformer architectures, and large language models.
Hands-on experience training, fine-tuning, evaluating, or post-training modern machine learning models.
Strong Python skills and experience with machine learning frameworks such as PyTorch.
Experience designing rigorous experiments and evaluating model performance.
Ability to translate research into production-ready systems.
Strong analytical thinking and excellent communication skills.
Nice to Have
Experience with AI security, AI safety, adversarial machine learning, or robust machine learning.
Experience developing or evaluating autonomous AI agents, reasoning models, or agentic workflows.
Experience with supervised fine-tuning, model optimization, post-training techniques, or reinforcement learning.
Publications in leading AI conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, etc.) or impactful applied research in industry.
Experience deploying machine learning models into production and building scalable AI-powered products.

This position is open to all candidates.

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8764571

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חברת השמה / כח אדם

23/07/2026

Machine Learning Scientist II - GenAI Applications

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Req ID: 29528

As a Machine Learning Scientist II, you will work within a cross-functional team of engineers and product managers to develop, evaluate, and deploy GenAI-powered solutions for scalable, customer-facing applications. Your work will focus on implementing agentic capabilities, contributing to evaluation frameworks, and delivering measurable business impact through data-driven experimentation.

Key Job Responsibilities and Duties:

Contribute to the design and development of end-to-end agentic systems, ensuring code quality and efficiency in production.

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Adhere to and promote established best practices in GenAI application development within the team.

Collaborate actively with team members, participating in code reviews, sharing knowledge, and contributing to a positive team environment.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

Requirements:
Qualifications & Skills:

Bachelors or masters degree in Computer Science, Engineering, Statistics, or a related field.

Minimum of 3 years of experience as a Machine Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions to production.

Strong understanding and practical experience with Generative AI models, Natural Language Processing and engineering aspects of developing ML.

Experience executing research and development plans and contributing to large-scale ML applications.

Experience on multiple ML facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.

Experience collaborating cross-functionally in the development of ML products (e.g. Developers, Product Managers, UX specialists, etc.).

Strong working knowledge of Python, LangChain, SQL, and Spark or similar technologies.

Strong coding practices, including writing and reviewing production-quality, maintainable, and well-tested code, with the ability to effectively leverage modern AI coding assistants while maintaining high standards for correctness, readability, and system design.

Excellent English communication and presentation skills, both written and verbal.

This position is open to all candidates.

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8752200

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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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05/07/2026

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

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 AWS.
* 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 our 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 experience in application architecture and software development.
- 5+ years of hands-on experience with AI/ML technologies and frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).
- Deep expertise in AWS cloud platform with focus on AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition, etc.).
- Proficiency in programming languages such as Python, Java, or similar
- Strong knowledge of generative AI technologies including LLMs, prompt engineering, fine-tuning, and RAG architectures.
- Understanding of various AI domains: NLP, computer vision, recommendation systems, predictive analytics.
- Willingness to travel to customer sites as needed.

Preferred Qualifications
- AWS 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 integration roles.# המשרה מיועדת לנשים ולגברים כאחד.

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8722866

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09/07/2026

Head of Research

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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.

Requirements:
Requirements
3+ years of experience leading or managing research teams (ML/NLP/AI), including ownership from ideation to deployment.
5+ years of hands-on applied experience in ML, NLP and Generative-AI, with a track record of delivering models into production.
Strong foundation in Deep Learning & NLP fundamentals, including representation learning, optimization, evaluation methodologies and error-analysis.
Proficiency in Python and modern ML/DL frameworks (e.g., PyTorch, TensorFlow).
Demonstrated ability to lead long-term Research initiatives in the industry - prioritizing, scoping, iterating and delivering measurable value.
Demonstrated AI-first mindset, coupled with pragmatic decision-making. With proven ability to evaluate and apply LLM/hybrid-AI solutions alongside classical ML models, selecting architectures based on performance, scalability, and ROI.
Advanced knowledge in Information Retrieval, Entity Linking, and Graph-based representations.
Experience deploying and managing ML solutions in cloud environments (AWS), including MLOps - advantage.

This position is open to all candidates.

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8732009

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20/07/2026

Applied AI/ML Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced Applied AI/ML Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform, designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers.
You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.
Responsibilities:
Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
Architect multi-agent workflows with planning, tool use, memory, and feedback loops, enabling agents to reason, adapt, and improve over time
Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
Collaborate with software engineers to productize agentic solutions - including testing, monitoring, versioning, and iterative improvement
Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing

Requirements:
4+ years of experience in applied data science or ML in a product environment, with demonstrated experience building agentic systems or autonomous agents
MSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience)
Proven track record designing and implementing multi-step agentic pipelines, including LLM-based agents, tool use, planning loops, and memory mechanisms
Hands-on experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or equivalent
Strong Python coding skills; familiar with Spark for large-scale, distributed data processing
Experience with LLM APIs (e.g., OpenAI, Anthropic, Bedrock, open-source models) and prompt engineering for agentic use cases
Experience performing rigorous model evaluation (baselines, cross-validation, error analysis) and defining evaluation strategies for agent behavior
Strong communication and collaboration skills; able to work across engineering, product, and supply chain domain experts and iterate fast
Nice to Have (Advantages):
Experience with multi-agent architectures, agent-to-agent communication protocols, and agent orchestration at scale
Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices (CI/CD for ML, model monitoring, drift detection)
Familiarity with containerization and production engineering practices (Docker, Kubernetes)

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8745452

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7 ימים

Distinguished AI/ML Architect (Cortex)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Are you a master of the AI lifecycle who can thrive at the intersection of deep learning research, cybersecurity and large-scale production systems? Do you possess the rare ability to jump into a complex technical crisis, diagnose a bottleneck in a Small Language Model (SLM), and lead a team to a production-ready solution?
As a Distinguished AI/ML Architect, you will be the premier technical authority across the Cortex AI/ML organization. You will serve as the "force multiplier" for multiple AI & ML teams, ensuring that our AI strategy - from endpoint-deployed DL/ML models to cloud-scale agentic products - is executed with world-class precision. You will operate as the primary technical architect and hands-on leader for our most ambitious and difficult initiatives.
Key Responsibilities
Operate at the forefront of AI and cybersecurity, leveraging vast datasets to design and deploy innovative defense mechanisms.
Provide horizontal technical leadership across endpoint, cloud, and agentic AI teams to ensure architectural excellence.
Oversee the design and deployment of different model architectures to guarantee scalability and high-performance standards.
Spearhead high-difficulty initiatives and new research frontiers, moving them from ambiguity to production.
Resolve complex technical bottlenecks across the stack, optimizing model efficiency and runtime performance.
Align research and engineering efforts to transform advanced models into robust, production-grade products.

Requirements:
10+ years of hands-on experience delivering production-grade machine learning and deep learning projects at scale.
Proven ability to own the entire lifecycle of a project-taking ambiguous ideas from initial research through to successful production deployment.
Extensive experience designing, training, and fine-tuning complex models, including SLMs and LLMs, tailored to specific proprietary datasets.
Track record of shipping diverse models to production across both resource-constrained endpoints and high-throughput cloud environments.
Deep expertise in building and optimizing agentic AI systems, including RAG architectures and autonomous workflows.
Demonstrated ability to lead technical strategy, ensuring research code is scalable, reliable, and production-ready.
Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field.
Excellent communication skills, with the ability to articulate complex architectural decisions to both technical teams and leadership.
Preferred Qualifications
Background in the cybersecurity domain, specifically in developing AI/ML models to detect and prevent cyber attacks.
Deep cybersecurity expertise in non-AI fields, such as vulnerability research, reverse engineering, or low-level security systems development.
Experience with low-level performance engineering, including model quantization, pruning, and runtime frameworks like ONNX or TensorRT.

This position is open to all candidates.

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8769888

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אירעה שגיאה בשליחת פרטיך למשרה

20/07/2026

Applied Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform - designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers.
You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.
Responsibilities:
Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
Architect multi-agent workflows with planning, tool use, memory, and feedback loops - enabling agents to reason, adapt, and improve over time
Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
Collaborate with software engineers to productionize agentic solutions - including testing, monitoring, versioning, and iterative improvement
Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing

This position is open to all candidates.

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8745441

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