Research

Chief Research Scientist - Industrial AIEast Bay, California | Hybrid We’re partnering with a major global technology organisation to appoint a Chief Research Scientist, focused on identifying what’s next in AI and translating frontier research into technologies with significant real-world impact. This is a rare opportunity to explore frontier AI research with the resources and scale to turn emerging ideas into technology used across some of the world's most complex environments. This is not a traditional AI delivery or engineering leadership role. We’re looking for a recognised AI research leader who operates ahead of the curve — someone who can anticipate where the field is heading over the next 6–12 months, investigate emerging research directions, rapidly test new ideas, and determine which technologies are worth pursuing before they become mainstream. The opportunity You’ll operate at the intersection of frontier AI research, experimentation and technology strategy, with the scope to explore emerging capabilities and influence where a global organisation invests next. You will:Identify emerging AI research, models and architectures with significant future potential.Rapidly prototype and experiment with new approaches to understand what works beyond the research paper.Determine which emerging technologies warrant deeper investment and development.Take promising research concepts from early exploration towards real-world application.Influence long-term AI strategy alongside senior technical and business leadership.Build and mentor a team of exceptional AI researchers and technologists.Develop an external presence within the AI research community through conferences, publications and thought leadership.Who we're looking for This role requires a frontier AI research profile rather than a standard applied AI delivery background. You may currently be working within a leading research lab, frontier AI company, advanced R&D organisation or highly research-driven technology environment. We’re particularly interested in:10+ years across AI/ML research, advanced R&D or emerging technology.PhD-level research depth or equivalent industry experience.A strong record of publications, patents, conference contributions or recognised technical thought leadership.Deep expertise across foundation models, LLMs and emerging AI architectures.The ability to spot important research trends early and translate them into experiments and prototypes.Experience taking advanced AI beyond theory and into complex, real-world environments.The technical credibility to engage with leading researchers alongside the communication skills to influence executive leadership.Experience building, mentoring or leading high-calibre research teams.This is for someone who doesn't just want to work with today's AI capabilities, but wants to help determine what comes next.Get in touch for a confidential conversation.

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.