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We are looking for a Product Manager | AI.
As an AI Product Manager, you will have a pivotal role in defining and executing a data and AI-driven product strategy that is core to overall offering
A Day In Your Life:
Lead the vision, strategy, and execution for data and AI-driven products, ensuring alignment with business goals and market needs.
Define, track, and analyze key data performance metrics to assess success and inform future AI/ML product strategies.
Work closely with customer-facing teams (Reliability Success Managers, Vibration Analysts, Product marketers) to gather insights, prioritize customer pain points, and drive real-world impact.
Enhance cross-domain collaboration, aligning with IoT, firmware, and hardware teams to ensure seamless integration and holistic product development.
Leverage AI/ML and data analytics to drive operational efficiency, customer value, and new revenue streams.

We are seeking PhD Students through fixed-term contracts to join the Generative Modeling Foundations Team within Fundamental AI Research (FAIR).
PhD students in Israel will work in collaboration with research labs at the departments of Computer Science at a university, jointly supervised by academics at these labs and research scientists at FAIR. In the spirit of FAIRs general mission, we expect the work to come out of the PhD, both and the academic partner, to be open science and open source.
Research Assistant (PhD) Responsibilities:
Perform research to advance the science and technology of intelligent systems.
Perform research that improves state of the art of generative models.
Influence progress of relevant research communities by producing publications.
Collaborate and increase productivity on existing research projects.

We are seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.
AI Research Scientist - Generative AI Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Contribute to publications and open-sourcing efforts.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research that can be applied to our product development.

Required Research Scientist, Computer Vision & GenAI
The Reality Labs organization is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through leading innovation. The potential to change the world is immense - and were just getting started.
Individuals in this role are expected to be recognized experts in Artificial Intelligence and Machine Learning, particularly in areas such as Deep Learning, Computer Vision, Affective Computing, Behaviour Understanding, and Generative AI. As a Research Scientist, you will help us develop models, algorithms, datasets, and evaluation methodologies for the generation and animation of avatars to facilitate new and engaging user experiences, and apply them to build cutting-edge 3D Avatars.
Research Scientist, Computer Vision & GenAI Responsibilities
Help to develop the next generation of GenAI models for avatar creation and animation.
Harness in-depth understanding of technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.
Employ knowledge in the following areas: multi-modal data processing, affective computing, generative AI, and neural rendering.
Work towards long-term research goals, while identifying intermediate milestones.
Disseminate findings of research by publishing papers in high impact conferences and journals.

We are seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world.
We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. The mission of our CodeGen research is to advance the state of AI through open science innovations. We explore, design, and conduct fundamental research on Code Generation and Computational World Modeling at scale with usability, efficiency, and sustainability as design principles.
Research Engineer, CodeGen - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines. Specifically, Contribute research that leads to innovations in Code Generation, Code World Modeling, Agentic Code Generation, Math Reasoning, etc.
Perform research that enables learning the code data (images, video, text, code, audio, and other modalities).
Devise better data-driven models of AI code generation systems.
Work towards long-term research goals, while identifying immediate milestones.
Influence progress of relevant research communities by producing publications.
Open source high quality code and produce reproducible research.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

We are seeking Research Scientists, at all experience levels, to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI.
Individuals in this role are expected to be world-leading experts in research areas such as ML theory, responsible AI, reinforcement learning, computer vision, audio, and/or NLP.
Research Scientist - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines.
Perform research that enables learning the semantics of data (images, video, text, audio, codegen, and other modalities).
Work towards long-term ambitious research goals, while identifying immediate milestones.
Influence progress of relevant research communities by producing publications.
Open source high quality code and produce reproducible research.

We are looking for a superstar CTO & Co-Founder, a bold technologist and visionary builder, whos ready to reimagine and reinvent the future of fraud prevention.This isnt just a leadership role, its an opportunity to architect a category-defining platform from the ground up. Youll lead the charge in developing cutting-edge AI technology, build a world-class engineering team, and shape the technical DNA of a company set to disrupt FinTech and InsurTech at scale. If you're driven by impact, passionate about deep tech, and ready to leave your mark on the industry this is your moment.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s 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.
Riverside’s 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 Riverside, 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 it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll 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.

We are seeking a creative and driven individual who can support the team in defining and executing our product vision while learning to address the needs and challenges of application builders who create products using our platform.
Your Responsibilities:
Take a leading role in defining and building GenAI functionality and extensible AI platform
Work with our head of AI, to define end-to-end requirements for Sisenses AI capabilities and drive their delivery from ideation & design, through engineering, to enablement and go-to-market
Identify, collect, analyze, and advocate for customer needs
Collaborate with your Product Manager peers helping create end-to-end stories that enable application builders to benefit from the Sisense analytical engine
Communicate the roadmap, vision, and strategy of your domain to key stakeholders
Create feature presentations and documentation to explain the capabilities to both internal and external audiences

Were looking for a Principal Software Engineer with a builders mindset and a passion for innovation to join our AI Security team.
Youll play a key role in shaping how organizations adapt and secure their use of AI, working on new initiatives from the ground up. The ideal candidate is a hands-on technical leader who thrives in ambiguity, brings deep backend expertise, and influences cross-team architecture and product direction.
This is a unique opportunity to work on cutting-edge AI Security initiatives in a fast-paced, high-ownership environment.

What Youll Do
Design scalable, secure solutions to complex technical challenges
Build backend services and infrastructure from the ground up
Drive architectural and technological decisions across products
Collaborate closely with cross-functional teams and mentor engineers
Review design and code to uphold high engineering standards
Explore new technologies and bring innovative ideas into production

In this role, youll help reshape the future of work by blending human creativity with the power of AI. Youll drive the evolution of AI-powered buyer-seller experiences and play a key role in building cutting-edge tools that redefine how people collaborate, create, and earn.

Youll be at the intersection of product strategy, AI innovation, and marketplace design - working on high-impact features that help sellers scale and empower buyers to achieve more. If youre passionate about building the future of work and love turning bold ideas into real-world products, we want to hear from you.

What am I going to do?
Lead product strategy and roadmap from discovery through launch, with full ownership of your domain.
Shape and define problems through user research, competitive analysis, and market insights.
Stay ahead of the AI curve - understand emerging AI capabilities and integrate the best solutions for our users.
Drive execution by aligning cross-functional teams and translating ideas into high-impact features.
Collaborate deeply with engineering, design, research, marketing, data, and other stakeholders.
Make decisions grounded in data, user feedback, and business impact.
Prioritize ruthlessly to balance quick wins with long-term bets, ensuring focus on what moves the needle.
Track progress and delivery, manage workflows across teams, and keep everyone aligned and moving fast.

We are seeking a AI Lead to drive the development and deployment of intelligent applications powered by ambient IoT platform. This role will be at the forefront of building AI-native interfaces that connect the physical and digital worlds redefining how users interact with real-time data, business operations, and physical assets.

This is a flexible leadership position: Ideal for someone who can build and lead a team, or an exceptional technical expert capable of executing as a high-impact individual contributor. The role reports to the Director of Strategy and will be central to shaping AI roadmap across internal tools, customer-facing solutions, and SDKs for external developers.

Responsibilities
AI Product Execution: Lead the development of GenAI-driven products, such as intelligent agents, copilots, and self-serve interfaces for real-world sensing and IoT data.

Architecture & Engineering: Design scalable, secure, and maintainable architectures for deploying LLM-powered services in production.

AI/ML Ops & Infrastructure: Own the full lifecycle of AI solutions prompt engineering, model evaluation, vector search, function calling, monitoring, retraining.

Team Leadership (optional): Mentor and grow a team of AI engineers and applied researchers, or collaborate across squads as a senior IC.

Cross-functional Collaboration: Work with data scientists, software engineers, product managers and business stakeholders to embed generative AI into the core of data product strategy.

Customer Use Cases: Translate ambient IoT data into actionable AI experiences supporting applications in logistics, sustainability, inventory management, and supply chain visibility.

Developer Platforms: Help build the SDKs and APIs that let customers and partners create their own AI-powered workflows using technology.

Experimentation & Research: Stay at the frontier of GenAI advancements (LLMs, RAG, agents, vision-language models) and apply them to real-world constraints and data environments.

We are looking for visionary thinkers and innovative creators passionate about pushing the boundaries of AI and making a tangible impact in everything we do.

Responsibilities
As an AI Product Manager, you will:

Maintain end-to-end ownership of the product roadmap and development cycle, including ideation, customer validation, and collaboration with R&D. This encompasses writing specifications, designing UI, optimizing UX to achieve business goals, and overseeing product launches and monitoring.
Partner with Data Scientists and ML teams to build products that use Conversational AI to power intelligent voice interfaces, automate complex workflows, and deliver natural, human-like interactions in real-world enterprise environments
Adopt a customer-centric approach by translating requirements into actionable product development tasks. Prioritize efforts by balancing feature requests, reported issues, customer feedback, strategic initiatives, and business constraints.
Collaborate with customers and internal stakeholders to identify high-impact opportunities for voice automation and AI-powered process optimization.
Prioritize product decisions based on strategic goals, data, Market research, and user feedback.

seeking a motivated and detail-oriented professional to play a key role in shaping the future of technology as a Generative AI Tools Researcher. This is your chance to work at the forefront of innovation, analyzing emerging content trends and helping leading foundation models stay ahead of the curve while prioritizing safety and reliability.

In this role, youll collaborate with experts across diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, and Child Safety, contributing to meaningful advancements in AI. Youll also oversee complex workflows with multiple stakeholders to deliver high-quality data used to evaluate cutting-edge AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and more.

Responsibilities:
Master AI Across Modalities - Explore and master cutting-edge GenAI Text, pushing the boundaries of what's possible in text, image, audio, and beyond.
Stay Ahead of Trends - Keep your finger on the pulse of the latest innovations in AI-driven content creation, identifying game-changing advancements across different modalities.
Collaborative Problem Solving: Work closely with engineering, product, and policy teams to address emerging challenges and develop forward-thinking solutions.
Knowledge Sharing: Foster a culture of continuous learning and knowledge exchange within the team.
Data Management: Handle extensive datasets across multiple areas of concern, ensuring precision and meticulous attention to detail.

seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others.

Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs.

Responsibilities:
Developing adversarial and risky prompts across several areas of abuse to expose potential vulnerabilities in models.
Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
Ongoing investigation into new tactics for circumventing foundational models' safety measures.
Working alongside diverse teamsengineering, product, policyto tackle new challenges and craft forward-thinking strategies and resolutions.
Promoting a culture of knowledge exchange and continual learning within the team.