AI Researcher jobs in Israel

Job Description 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 Qualifications • 5+ years of experience as a Research Scientist or Algorithm Developer within world-class AI labs or high-growth GenAI startups • Ph.D. or Master’s 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 Additional Information We're Base44, a newly acquired part of Wix, on a mission to redefine how software is built. Our AI-powered platform enables anyone to create custom software applications using natural language—no coding required. Operating like a startup within Wix, we're fast, collaborative, and focused on solving complex problems with simple, powerful solutions. We exist to empower creators, solo founders, startups, entrepreneurs, and side hustlers to bring their ideas to life. Whether you're launching a product, validating a concept, or exploring a new idea, Base44 is here to help you build it. We're growing rapidly, the potential is immense, and with your expertise, we can drive user-driven growth to new heights.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. We’re looking for an experienced, hands-on Senior AI Researcher to lead research efforts at Slice and help shape the next generation of AI capabilities across our platform. You’ll explore complex, domain-specific challenges, define research directions, and translate promising ideas into practical product capabilities. Your work will span applied research, experimentation, and model development—including building and adapting large and small language models using proprietary data, domain knowledge, and modern training techniques. You’ll work with complex financial documents, structured and unstructured financial data, and legal and compliance data and knowledge, developing approaches that help AI interpret and reason across these sources. Working closely with the CTO, engineering teams, and domain experts, you’ll have significant ownership over both the questions we investigate and the approaches we take. We’re looking for someone who combines strong research fundamentals with the drive to build, test, and bring ideas into production. What You’ll Do • Lead applied AI research efforts. Identify meaningful opportunities, shape the research roadmap, and drive initiatives from initial exploration through validation and implementation. • Build and improve models. Develop, train, and adapt models using approaches such as fine-tuning, post-training, distillation, and other relevant techniques. • Work with complex documents and data. Explore methods for understanding and reasoning over financial documents, structured business data, and legal and compliance information, in collaboration with domain experts. • Drive rigorous experimentation. Formulate hypotheses, build datasets and evaluation frameworks, and systematically measure performance, reliability, and tradeoffs. • Connect research to real-world applications. Collaborate with engineers and domain experts to turn research outcomes into scalable, production-ready capabilities. • Advance our research practices. Evaluate emerging methods, share findings, and help establish strong standards for experimentation, model development, and responsible use of data. Requirements What You’ll Bring • 6+ years of experience in AI/ML research or applied science, with a strong background in deep learning and recent hands-on experience with language models. • Proven experience building, training, or adapting models, including ownership of data preparation, experimentation, and evaluation—not just integrating third-party model APIs. • Strong proficiency in Python and modern deep learning frameworks, such as PyTorch, and familiarity with the language-model training ecosystem. • A solid understanding of model architectures, optimization, training methodologies, and evaluation.. • Strong research judgment: the ability to frame ambiguous problems, design meaningful experiments, analyze results, and make evidence-based decisions. • The ability to work independently, take technical ownership, and collaborate effectively with engineering, product, and domain experts. Nice to Have • An M.Sc. or Ph.D. in Computer Science, Machine Learning, or a related field, or an equivalent research track record. • Experience with advanced post-training methods, reinforcement learning, synthetic data, knowledge distillation, or efficient model training and inference. • Experience in document understanding, information extraction, or reasoning across structured and unstructured data, particularly in financial, legal, or compliance domains. • Research publications, meaningful open-source contributions, or a track record of bringing research into production. Why Join Slice • Build with purpose: Apply AI to solve global compliance at scale. • High ownership: Work directly on product-critical systems with real customer impact. • Technical depth: Work across architecture, UX, and infrastructure. • Collaboration: Partner with top engineers and alumni of elite technology units. • Team culture: Collaborative, ambitious, and impact-driven. • Startup energy: Join a high-growth company backed by top investors, scaling globally, and redefining fintech infrastructure.

Description Mentee Robotics, now part of Mobileye, brings world-class robotics expertise, together with Mobileye's decades of leadership in computer vision, machine learning, and autonomous driving technologies. Building on that foundation, Mentee by Mobileye is creating the "MenteeBot", the AI-first humanoid robot that combines perception, reasoning, learning, and advanced dexterous manipulation, designed to work alongside people in their everyday lives, at the workplace and in the home. At Mobileye, our technologies power more than 230 million vehicles worldwide and have helped shape the future of autonomous mobility. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for real life. Responsibilities • Design, implement, and train state-of-the-art neural network architectures for robotic applications, including large multimodal models (vision, language, sensor data) and generative models. • Architect and maintain scalable deep learning frameworks for training on massive, real-world robot datasets. • Develop and implement cutting-edge techniques in areas such as imitation learning, reinforcement learning, self-supervised learning, and video-based models. • Own the full machine learning lifecycle: define data collection and labeling strategies, build high-throughput data pipelines, and establish robust evaluation and deployment protocols. • Collaborate closely with software, hardware, and controls teams to integrate and test your models on physical robots. • Leverage and contribute to internal tooling for large-scale data processing, model experimentation, and continuous integration. Requirements • Proven experience (M.S., Ph.D., or equivalent industry experience) in Computer Science, AI, or a related field. • Strong software engineering skills are non-negotiable; demonstrated excellence in solving complex engineering problems, particularly in Python. • A deep, "under the hood" understanding of modern deep learning, including network architectures, loss functions, optimization, and transformers. • Extensive hands-on experience with PyTorch. • A proven track record of training large-scale deep learning models on large datasets. • Ability to thrive in a fast-paced, high-impact environment where solutions are often unclear and require deep exploration. Advantages • Experience with training large models (e.g., LLM, VLM, VLA). • Prior experience working with robotic learning systems. • Experience with multi-task learning, imitation learning, or reinforcement learning. • A strong publication record in top-tier AI or robotics conferences (e.g., NeurIPS, ICML, CVPR, RSS, CoRL).

About Irregular Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios. As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely. About the Role As an AI researcher at Irregular, you'll be at the forefront of researching advanced frontier model capabilities and agent behavior, and help shape the future of AI security evaluation and mitigation. In this role, you will advance the frontier knowledge of AI and agentic frameworks, methods of assessing their ability, and mitigations for dangerous capabilities. Representative projects: • Researching capability elicitation methods to enhance model performance in evaluations. • Researching methodologies to assess generalization and coverage in model capabilities evaluation frameworks. • Contributing to academic publications and delivering research findings to customers. • Creating unique solutions to mitigate scenarios of AI loss of control or misalignment. • Advising and supporting the development of the products we’re building. You may be a good fit if you: • Have a strong research experience in machine learning, particularly with frontier AI models. • Can design and implement novel research approaches for emerging AI challenges. • Work well in a multidisciplinary team and can adapt to rapidly evolving research questions. • Have a track record of publishing peer-reviewed research in top-tier venues (e.g., AAAI, ACL, EMNLP, ICLR, ICML, Nature, NeurIPS, Science, or similar). • Care about the societal impacts of your work.

Description What we are looking for: Nova is looking for a highly capable and experienced Deep Learning Researcher to lead and develop advanced deep learning solutions for metrology challenges within Nova’s CTO group. Role Responsibilities What you will be doing: • Lead feasibility studies and proof-of-concept investigations for advanced deep learning solutions addressing complex metrology challenges. • Design, develop, and evaluate deep learning infrastructure for early-stage metrology technologies. • Propose and drive new deep learning directions, research ideas, and innovative approaches in collaboration with the CTO group. • Work closely with multidisciplinary teams to translate research concepts into practical metrology solutions. • Stay up to date with state-of-the-art deep learning methods and apply them to novel semiconductor metrology problems. Requirements Requirements: • M.Sc. or Ph.D. in Data Science, Computer Science, Engineering, Physics, or a related field. • +4 years of hands-on experience in Data Science. • Strong experience with advanced deep learning algorithms and infrastructure. • High proficiency in Python with excellent coding skills. • High level of motivation and ability to work independently. • Strong collaboration skills and a proven team player. Get to know us better: Nova (NASDAQ: NVMI) is a global company and a leading provider of innovative metrology solutions for process control in semiconductor manufacturing. With a team of ~1200 people in three R&D centers and 27 field offices, we bring insights into the world’s most advanced industry. We leverage multiple technology fields such as physics, optics, chemistry, and algorithms to develop hardware and software solutions that measure almost every advanced computer chip built in the world. Nova dives deep into dimensions and layers at the atomic level to extract unique insights and provide our customers with crucial decision-making data, managing critical challenges by providing unique, differentiated solutions. Our outstanding people-focused and innovative culture means every person at Nova has the power to make an impact and significantly redefine what people can achieve through technology. Join us if you are A dreamer and brilliant high aimer who sees the impossible as the starting point and loves working in a multidisciplinary global team to create innovative breakthroughs. If you need assistance due to a disability, you may contact us at [email protected]

Description About Cyera Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security. About the Role As an AI Research Team Lead on Cyera’s Research group, you will mentor a talented team of researchers, set the strategic vision for research initiatives, and drive team-wide project goals. You’ll partner closely with Product and Engineering leadership to turn open-ended data-security challenges into measurable experiments and shipped features. You will manage the critical balance between research exploration and product delivery, owning the end-to-end lifecycle—from problem framing and data strategy to evaluation, deployment, and ongoing monitoring—helping customers discover, protect, and govern their data at scale. What You’ll Do • Lead and mentor a team of AI researchers, fostering a culture of excellence and innovation while overseeing the end-to-end research lifecycle. • You will act as the technical and strategic lead, defining team priorities, roadmap, and data science methodologies. • Mentor and grow team members through technical guidance, career development, and peer reviews. • Collaborate with cross-functional leadership in Product and Engineering to align research efforts with core business objectives and customer needs. • Manage team performance, resource allocation, and timely project delivery within an agile environment. • Develop, evaluate, and maintain deep learning and NLP solutions to enhance Cyera’s core capabilities in sensitive data classification. • Design and architect production-grade agentic workflows. Establish rigorous evaluation pipelines to benchmark agent accuracy, latency, and cost, ensuring reliable, scalable solutions for real-world customer problems • Innovation and creative thinking are the keys! Implementing ML models to the entire research process - clustering, text extraction, document analysis, and tabular data classification. • Join a “full stack” AI group, including research engineering, MLEs, data operations, and security researchers. You will accelerate the path from research to production, ensuring results are both quick and precise. Requirements Who You Are Must-Haves • BSc in computer science, math, physics, or a related field • 7+ years of experience as an AI Researcher/NLP Researcher/Applied Scientist, including experience leading or managing research teams • Proven track record of building and managing high-performing AI research / Data Science teams. • Solid grounding in core machine and deep learning concepts and techniques, data challenges (imbalance, scaling etc.), and evaluation. • Demonstrated expertise in applying LLMs - prompt engineering and prompt tuning (few-shot, chain-of-thought, tool/function calling, routing), task adaptation (instruction/SFT, PEFT/LoRA, DPO/RLHF), retrieval-augmented generation, rigorous evaluation and production deployment with appropriate safety, latency, and cost controls. • Self-learner, initiator, able to quickly learn new technologies • Experience in NLP - a significant advantage Why Join Us? At Cyera, we care about collaboration, innovation, and agility. We take “teamwork” seriously—with our inclusive and supportive culture at the forefront—and we’re just as serious about nurturing Cyerans to grow, both personally and professionally. Feel free to apply even if your experience doesn’t tick every box. We’re building something special here—and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.

Description About Cyera Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security. About the Role As an AI Researcher on Cyera’s Research group, you’ll research, develop and productionize LLMs powered applications and AI-agents. You’ll partner closely with Product and Engineering to turn open-ended data-security challenges into measurable experiments and shipped features. You’ll own the end-to-end lifecycle - from problem framing and data strategy to evaluation, deployment, and ongoing monitoring - helping customers discover, protect, and govern their data at scale. What You’ll Do • Responsible for the end-to-end research process. This includes identifying problems, preparing data, tuning and developing models, deploying to production, and analyzing outcomes. • You will be a hands-on domain leader, laying the foundations of our data science workflows and algorithms. This is an excellent opportunity to work with endless amounts of data and creatively generate insights that will increase the ability to classify tons of data. • Develop, evaluate, and maintain deep learning and NLP solutions to enhance Cyera’s core capabilities in sensitive data classification. • Design and architect production-grade agentic workflows. Establish rigorous evaluation pipelines to benchmark agent accuracy, latency, and cost, ensuring reliable, scalable solutions for real-world customer problems • Innovation and creative thinking are the keys! Implementing ML models to the entire research process - clustering, text extraction, document analysis, and tabular data classification. • Join a “full stack” AI group, including research engineering, MLEs, data operations, and security researchers. You will accelerate the path from research to production, ensuring results are both quick and precise. Requirements Who You Are Must-Haves • MSc in Computer Science, Mathematics, Statistics, Physics or a related field • 5+ years of experience as a Data Scientist/AI Researcher/NLP Researcher/Applied Scientist • Strong knowledge and understanding of machine learning concepts and techniques. • Deep understanding in modern NLP: LLMs, transformers, etc. • Proven experience in applying LLM-based applications or AI agents. • Experience in deploying and optimizing ML / LLMs / AI-agents to production processes • Experience with data pipelines / big-data analytics • Self-learner, initiator, able to quickly learn new technologies Why Join Us? At Cyera, we care about collaboration, innovation, and agility. We take “teamwork” seriously - with our inclusive and supportive culture at the forefront - and we’re just as serious about nurturing Cyerans to grow, both personally and professionally. Feel free to apply even if your experience doesn’t tick every box. We’re building something special here - and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. You’ll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response. The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation. What You’ll Do Responsibilities: • Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics. • Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines. • Publish and share: produce Zenity Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty. • Build tools: Several open source libraries exist (like Anthropic’s attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments. Requirements Requirements: • Deep learning expertise with a track record of non‑trivial research (industry or academia) in LLMs or other domains (e.g., CV, speech). We care that you’ve changed models or methods in meaningful ways (architecture/training/eval), not just used them. • Strong experimental design and scientific writing; comfort pre‑registering hypotheses, testing causal claims, proposing novel directions in a fast-changing field. • PhD or equivalent research experience in the industry (5+ years in a leading research team). Publication record or a portfolio of high‑impact open artifacts will make you stand out from the crowd. • Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch); Experience with a production grade codebase with several contributors is a bonus. • Experience in data analysis: visualization, exploration, cleanup. • Knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems - a bonus.

Description Join Onyx Security and help build the control plane for autonomous AI in a fast-moving, high-impact environment. Onyx is building the control layer that enables enterprises to safely adopt and scale AI agents across the organization, with the visibility, governance, and operational control needed to understand what agents exist, what they do, how they behave, and what risks they introduce. About the role Onyx is 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 Onyx's AI security platform. Requirements What you will bring • 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.

Simply’s mission is to make the pursuit of creative hobbies simple and fun. Our top-grossing apps Simply Piano, Simply Guitar, Simply Sing, and Simply Draw put us on the fast track to building the world’s largest global consumer subscription service that’s revolutionizing how we spend our time at home. With over a million monthly downloads and hundreds of thousands of daily learners around the world, we’re redefining creative learning at scale. What Senior AI Research Engineers do at Simply Senior AI Research Engineers at Simply develop algorithmic solutions that power new innovative features and continuously improve existing ones, with a strong emphasis on training AI / ML models as a core part of the role. The work spans a wide range of domains - from training generative AI and LLM-based models to create musical content at scale for Simply Piano, through building deep learning computer vision models that enhance user drawings in Simply Draw, to developing real-time audio ML models for music transcription that elevate feedback in Simply Guitar. You will take full end-to-end ownership of cutting-edge algorithms and AI models - leading the process from ideation and research, through development, to production-grade implementation and engineering within Simply’s products. This includes not only designing and building AI models, but also ensuring robust, efficient, and scalable integration into the app - directly shaping the experience of millions of users. Who you are and what you’ve done • 3+ years of experience in designing and implementing AI/ML algorithms, with a strong focus on signal processing • Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience • Proven experience working across the full ML lifecycle - from data acquisition and model training to production implementation and ongoing product iteration • Moves fast, with strong engineering instincts, able to choose the right level of complexity to drive real-world impact • A get things done attitude with a strong sense of ownership • A team player with excellent communication and collaboration skills; able to convey complex ideas clearly to technical and non-technical partners • Exceptional analytical and problem-solving skills • A fast learner, willing to try things out of your comfort zone • Experience in speech, audio, or music-related domains - Advantage

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber. As an AI Researcher, you’ll be part of the team building the AI systems that power our products. You’ll work across research and engineering - from training and post-training state-of-the-art LLMs to applying them to challenging real-world problems such as agentic behavior, coding, and security-related decision-making. This is a hands-on research role with a strong focus on taking ideas from experimentation to production. You’ll have significant ownership and the opportunity to shape both the direction of our AI research and the systems we build around it. WHAT YOU WILL DO • Train, adapt, and scale state-of-the-art LLMs using techniques such as post-training SFT, knowledge distillation, LoRA, and reinforcement learning. • Develop and evaluate new algorithms and approaches, bridging cutting-edge academic research with production-grade AI systems. • Optimize models for production, balancing quality, latency, throughput, and cost at scale. • Own the AI lifecycle—from algorithmic prototyping and synthetic data generation to evaluation, deployment, and iteration of production AI features. • Work closely with engineering and product teams to translate research advances into impactful AI capabilities. • Lead research initiatives that advance the capabilities of Vega’s AI systems. Requirements WHAT YOU WILL BRING • 5+ years of professional experience as a research scientist, applied scientist, or algorithms/ML engineer. • Ph.D. or Master’s degree in computer science, machine learning, data science, statistics, or a related field. • Expert-level proficiency in PyTorch and deep learning training and inference optimization. • Hands-on experience training, fine-tuning, evaluating, or optimizing large-scale LLMs in research or production environments. • Strong Python programming skills and experience writing production-grade ML code. • Experience working with large-scale data and ML infrastructure. NICE TO HAVE • Experience applying AI/ML to cybersecurity, including threat detection, incident response, log analysis, or related problems. • Experience with reinforcement learning or preference optimization for LLMs. • A track record of research publications, open-source contributions, or other technical work demonstrating research depth.

Job Description 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 Qualifications • 5+ years of experience as a Research Scientist or Algorithm Developer within world-class AI labs or high-growth GenAI startups • Ph.D. or Master’s 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 Additional Information We're Base44, a newly acquired part of Wix, on a mission to redefine how software is built. Our AI-powered platform enables anyone to create custom software applications using natural language—no coding required. Operating like a startup within Wix, we're fast, collaborative, and focused on solving complex problems with simple, powerful solutions. We exist to empower creators, solo founders, startups, entrepreneurs, and side hustlers to bring their ideas to life. Whether you're launching a product, validating a concept, or exploring a new idea, Base44 is here to help you build it. We're growing rapidly, the potential is immense, and with your expertise, we can drive user-driven growth to new heights.

Description About us We build the context layer for engineering organizations. We connect code, runtime telemetry, data lineage, and operational systems into one live model of how software runs, then give AI agents that model through chat and MCP. What you'll do • Own the evaluation function for all Cobalt agents: code Q&A, change-impact analysis, incident response, and MCP tool use by coding agents. • Design and build eval harnesses and benchmarks, with ground truth taken from merged PRs, production traces, and code. • Define and track agent performance metrics: recall and precision, cost per correct answer, tool-call efficiency, latency, and failure modes. • Run controlled comparisons across models, prompts, retrieval strategies, and baselines, with statistical rigor. • Diagnose agent failures in retrieval, reasoning, and tool design, and drive the fixes with engineering. • Build regression suites in CI that score every model, prompt, and connector change before release. • Lead external research, including ownership of research papers. • Set the research agenda and mentor future hires. Requirements Requirements • 7+ years in ML/NLP research or applied AI, including evaluating LLMs or agents. • A track record of designing benchmarks: task sampling, contamination control, scoring methods, and power analysis. • Deep knowledge of agent architectures: tool use, retrieval, multi-step planning, MCP or similar protocols. • Expert Python, and production-quality eval infrastructure you have shipped. • Experience leading research projects end to end, from design to publication or product. Nice to have • Publications at NeurIPS, ICLR, ACL, ICSE or FSE on LLM evaluation, code intelligence or agents. • Experience with repo-level code benchmarks (SWE-bench-style). • Experience with LLM-as-judge methods and their known failure modes. • A background in distributed systems, observability data, or large codebases. Why join • Enterprise ground truth: thousands of repos, live traces and production incidents. • Your evals decide what ships. • A founding role in the research function.