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shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leadersyes, we really are leaderswe partner with the worlds top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv.
About the position
We are seeking an experienced Data Scientist to advance cutting-edge Machine Learning (ML) & Deep Learning (DL) research, champion Responsible AI best practices, and drive product innovation. This role offers the opportunity to develop and optimize ML models while also pioneering innovative AI applications under strict governance and ethical standards. Youll work on both structured, production‑ready AI systems and experimental, next‑generation AI solutions, adapting based on business needs.

If you love rigorous ML development, creative AI prototyping, AND ensuring AI is built responsibly, this is the perfect role for you!

Responsibilities
ML/DL Research & Applied Data Science
Develop, optimize, and deploy ML/DL models aligned with business goals.
Conduct data exploration, preprocessing, and model enhancement to improve performance.
Implement robust model monitoring pipelines to ensure reliability and mitigate drift.
Collaborate with engineering & product teams to integrate AI solutions into production systems.
New Product & Backlog Research
Scout emerging technology trends and conduct market & internal backlog research to surface unmet customer needs.
Evaluate and prioritize research findings, translating them into actionable, data‑driven proposals that influence the product roadmap.ש

A well funded startup developing AI for diagnosing diseases from retinal images, is looking for an AI (vision) Researcher.
AI (Vision) Researcher
Tel-Aviv, IL
As part of the team you will:
Develop novel solutions for retinal screening, spearheading healthcare accessibility
Help prevent blindness worldwide
Join a leading company with unique FDA approved products
Learn from top ML researchers in the field

We are making the future of Mobility come to life starting today.
At our company we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
We are looking for a talented AI Applied Researcher to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.
What Youll Do
Lead an applied research for AI-driven features in the company's platform
Research and optimization agentic flows to solve complex problems
Collaborate with engineering teams to design, build, and maintain production pipelines
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

As an AI Data Science Team Lead, you will lead the Clinical AI domain in the Data & AI group. You will be responsible for building, deploying, and evolving clinical prediction models and LLM based agents that power our AI-first user experiences - starting with our conversational health assistant and expanding into risk prediction and disease management.
You will lead a cross functional team of data professionals and work closely with Product, R&D, and Data Platform teams to bring data-driven ML/AI solutions to life.
Responsibilities:
Lead a team of data scientists & analysts
Work closely with the engineering team on delivering AI agents to our product - collaborate on design, testing, deployment, monitoring and iterative improvements
Establish best practices for agent observability & evaluation
Partner with Product Managers to translate user journeys into intelligent conversational flows
Define how real-time data from the app, wearables & clinical events is injected into agent memory
Implement other novel algorithms and investigate new technologies to improve the clinical impact of our product and actually save lives! !

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team
At our company, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether its real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in.
On your day to day
You will research advanced algorithms and models to enhance the quality, effects, and aesthetics of audio and video content. You will work closely with our product and other engineering teams, as your work will serve as the core of the most cutting-edge features of our mobile and web applications. You will conduct research, identify trends, and explore new methodologies to enhance the performance, efficiency, and scalability of our AI systems, while leveraging the latest tech to push the boundaries of innovation in product and bring the most value to our customers.

A Research Engineer supports Applied Scientists in the team by helping to build tools, experiment frameworks, and infrastructures. A Research Engineer may be called to directly facilitate science benchmarking, and deep dive on any deep learning related technical problems. He/she may be called to lead or facilitate a joint project between science and engineering team.

Key job responsibilities:
* Participate research and development: direct or indirectly contribute to developing latest Retrieval Augmented Generation technologies, fine-tuning techniques for embedding models and LLMs.
* Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications.
* Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one, or making components within the two interchangeable. Work towards a fast science-to-production paradigm.
* Science code quality control: serve as gate keeper, review and hold science code quality to production standard.
* Manage science infrastructure: act as admin to manage all science AWS account, including patch any security risks, build templates, AWS Cops, conduct cost reduction operations.

Were seeking a visionary and technically hands-on AI Lead to join us and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

were looking for an AI Product Specialist. In this individual-contributor role, you'll design and build production-ready AI agents, shape our prompt strategy, and ensure every customer-facing team can confidently demo and customize the Builder.

Youll spend approximately 60% of your time on hands-on agent building and prompt engineering, 30% on outbound enablement and GTM support, and 10% on special initiatives such as internal hackathons.

Responsibilities

Own the end-to-end design and development (mostly vibe-coding) of AI agents on our Builder platform, coordinating with stakeholders and ensuring clear, timely communication throughout the process.
Craft, test, and iterate prompts; establish reusable templates and guardrails to ensure the best user experience, trust, and consistent brand voice.
Collaborate closely with customer-facing teams to refine customer-tailored prompts and continuously improve product experience.
Identify new agent opportunities through market research, customer interviews, and field feedback; translate insights into a prioritized backlog.
Enable customer-facing teams (Solutions Engineering, CSM, Sales), Product, and Engineering teams with demo environments, playbooks, decks, and demo-in-a-box kits; run live enablement sessions and certification programs.
Track adoption KPIs of the AI Buildertraining completion, agent usageand present monthly scorecards to leadership.
Lead special initiatives, such as internal hackathons, to spark innovation and develop new production agents.
Serve as the primary subject-matter expert for advanced AI Builder questions, troubleshoot issues, and gather feedback for the product roadmap.

We're looking for a AI Research Scientist to join us in spreading the power and push the boundaries of AI in cybersecurity. You'll be at the forefront of developing novel AI modelsfocusing transformers and LLMsthat advance how cybersecurity operates. Contribute to the wider AI and cyber communities through publications and conference presentations, establishing us as a thought leader at the intersection of AI and cybersecurity.
WHAT YOULL DO
Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for our products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

We are looking for a skilled and motivated security researcher to join our core Cyber-AI research team and help us harness the power of our AI models and capabilities to solve challenges in the security domain.This role involves hands-on and multidisciplinary work, involving both cyber expertise and AI, driving novel research around LLM capabilities, limitations and developing workflow automation solutions.
Responsibilities
Research methods & initiatives to integrate AI into cybersecurity workflows and create prototypes to prove your ideas
Apply deep Cyber domain understanding of offensive & defensive techniques to guide our AI efforts and act as security expert for multidisciplinary teams
Design & create AI agents tuned for specific cybersecurity tasks, including surrounding framework and automation tools, working closely with Data Science team
Create unique training methods to keep our Cyber models relevance over time
Create evaluation methods for models performance, coverage and accuracy
Stay updated with the latest advancements in AI and cybersecurity, experiment with open-source projects & tools.

We are seeking a highly skilled and experienced Senior NLP Researcher to join our AI research team and drive the development of our next-generation large language models (LLMs). The ideal candidate will have a strong background in NLP, deep learning, and applied research, with a passion for innovating and pushing the boundaries of generative AI technologies.
Responsibilities:
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.

We are seeking talented undergraduate students to join our AI Middleware research group.
You will be part of a team working on groundbreaking middleware solutions that enhance AI performance, optimization, and scalability. You will be exposed to Kubernetes, cloud technologies, and state-of-the-art AI frameworks, contributing to advanced AI research projects focused on inference, tuning, and Agentic AI systems.
We offer:
- Opportunities to work on high-quality research projects with a world-class team.
- Exposure to the latest AI and cloud technologies in the industry.
- A collaborative and innovative research environment.
If you're ready to push the boundaries of AI middleware research, we encourage you to apply!

Were looking for a talented AI research team lead for the Data Science group, to help us develop advanced AI solutions that will empower impactful projects across our company. The Data Science group leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product, optimize processes, and deliver personalized experiences.
Lead a team of AI researchers
Manage and conduct advanced hands-on research projects that will impact 250M+ users
Leverage the latest advancements in LLM customization, multimodal models, knowledge representation, and conversational AI
Build horizontal AI capabilities to be used across our company
Work on strategic projects for the company
Collaborate with other internal departments to drive impactful data-driven projects.

Required Language Data Analyst
Description
As a language data analyst, you will take part in the process of developing AI based text-interaction technology with focus on meticulous empirical work guided by insights about human linguistic knowledge and behavior.
Role and Responsibilities:
Work with PMs and stakeholders to develop domain aware product standards and definitions
Identify systematic patterns in language data by applying usage-based and theoretical generalizations
Use a combination of qualitative and quantitative methods to study language models in terms of human standards
Create well balanced and controlled datasets that capture the diversity of real life language use
Design, conduct and manage empirical studies with emphasis on the human factor.