Research

Multimodal LLM Researcher$300,000 - $400,000 Remote, Palo AltoFull-time / PermanentDeepRec has partnered with a high-growth generative AI company (Series B, $130M raised). They're building multimodal, multi-agent systems that combine language, vision, audio, and video. If you've been looking for a role where your research reaches production and shapes how millions interact with creative AI, this is worth a closer look.You'll help define the next generation of multimodal AI systems. Your work will span research, experimentation, and deployment, with a focus on real-time performance, multimodal reasoning, and agent-based workflows. You'll have the freedom to explore ambitious ideas while working alongside engineers who can bring them into production.What You'll Do- Lead research across LLMs, VLMs, and Audio Language Models- Design novel multimodal model architectures and training approaches- Improve real-time inference across text, image, audio, and video- Train and fine-tune autoregressive and diffusion models- Build and curate high-quality multimodal datasets- Collaborate with engineering teams to deploy research outcomes- Publish findings at leading AI conferences and journalsWhat You'll BringEssential- Strong research track record in multimodal AI or foundation models- First-author publications at recognised ML, vision, or audio conferences- Deep expertise in LLMs, VLMs, Audio LMs, or related fields- Strong Python and deep learning experience using modern frameworksDesirable- Experience with diffusion models or world models- Background in real-time AI systems and model serving- Experience building large-scale multimodal datasetsWe encourage you to apply even if you don't meet every requirement. The right mindset matters as much as the right CV.What's In It For You- USD 300,000–400,000 salary- Fully remote working arrangement- Ownership of research that shapes production systems- Opportunity to publish and contribute to the field- Direct collaboration with product and engineering leadershipThis role offers the chance to work on multimodal AI problems that sit at the intersection of research and real-world deployment. If you're excited by advancing the field while seeing your work reach users, we'd love to hear from you.

Chief Executive Officer – Deep-Tech Photonics Scale-UpCompany OverviewA well-funded deep-tech company with a strong scientific and technological foundation is entering a new phase of growth, transitioning from an R&D-led organisation into a commercially focused scale-up.The business operates at the frontier of advanced photonics and semiconductor technologies, with applications in next-generation computing and communications. Having established strong technical credibility and IP, the organisation is now focused on building the structures, leadership, and commercial engine required to scale globally. Role OverviewWe are seeking a Chief Executive Officer to lead the company through its next stage of growth and transformation.This role will be responsible for driving the professionalisation of the organisation, defining long-term strategy, and building a scalable commercial business while maintaining the company’s strong technical and entrepreneurial DNA.The CEO will work closely with the founders, board, and leadership team to translate deep-tech innovation into a sustainable, high-growth business. Key ResponsibilitiesStrategy & CultureDefine and execute long-term vision, strategy, and roadmapPosition the company to stay closely connected to emerging opportunities across markets, technologies, and partnersLead the transition from R&D-focused organisation to a commercially driven businessBuild a strong, values-led culture focused on innovation, excellence, and collaborationFundraising & GovernanceLead fundraising across venture capital, strategic investors, and public funding sourcesManage investor relations and board engagementEnsure strong governance, financial planning, and risk managementExecutive LeadershipBuild and lead a high-performing leadership teamOversee operational scaling in partnership with the COOAlign technical, commercial, and operational functions into a unified execution model PartnershipsDevelop and manage strategic partnerships across suppliers, foundries, and ecosystem partnersStrengthen positioning within key industry and research ecosystems Key Requirements ExperienceProven CEO, founder, or senior executive experience in deep-tech, semiconductor, photonics, or advanced hardware environmentsStrong track record scaling technology companies from early stage through commercialisationDemonstrated experience in fundraising and investor relationsMindsetStrong strategic thinker with hands-on execution capabilityAbility to bridge advanced engineering / physics with commercial realitiesHigh credibility with both technical teams and external stakeholdersComfortable operating in ambiguity and building structure in fast-evolving environmentsDegree in Engineering, Physics, Finance, Business, or related field preferredPersonal QualitiesEntrepreneurial, resilient, and mission-drivenStrong communicator with executive presenceValues integrity, transparency, and long-term impactWillingness to be regularly onsite and travel 20% of time Why This RoleLead a company at the forefront of next-generation photonic technologiesWork closely with a world-class technical founding teamTake ownership of a pivotal transition from R&D to global commercial scale-upHigh-impact leadership role with significant strategic influence and equity participation

AI Researcher – Video World Generation San Francisco (Bay Area)Help build the next generation of AI video systems that can create rich, interactive worlds from text or images.What you’ll work on:Foundational diffusion models and world models for high-quality video generationReal-time AI pipelines that turn ideas into consistent, dynamic video scenesMulti-agent systems and orchestration for intelligent video creationRL techniques for more adaptive and open-ended video generationRequired:Strong production experience with large multimodal or agentic AI systemsHands-on work with distributed training or large-scale vision/diffusion pipelinesBonus (big plus):Experience training or fine-tuning diffusion modelsBackground in world models, simulation, robotics, or multi-agent systemsFamiliarity with game engines (Unity/Unreal) as test environments