Head of AI Research
Clera · Not provided by source
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Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- Berlin
Job description
About the Role We are a seed-stage deeptech company building an advanced materials acceleration platform at the intersection of physics-informed AI, robotics, and autonomous experimentation - with a focus on the energy sector and beyond. Our mission: compress decades of materials discovery into years by connecting frontier machine learning with real-world experimental pipelines. We are looking for a Head of AI Research to define and lead our AI-for-Materials research agenda. This is a foundational leadership role for someone who wants to shape not just a team, but a new scientific discipline - inventing the representations, learning paradigms, and evaluation frameworks that will underpin the next generation of materials discovery. What You'll Do • Define a clear research vision and roadmap for AI-native materials discovery, setting thesis-level bets and identifying high-impact research directions. • Identify where existing ML paradigms fall short for physical matter and specify what must be built from the ground up. • Lead development of a Materials World Model that integrates experiments, simulations, and learned representations across scales. • Collaborate cross-functionally with Programs, Hardware & Automation, and Software Architecture teams to embed research into end-to-end discovery loops. • Ensure all models and pipelines are grounded in physical reality and continuously validated against experimental feedback - not just data-driven patterns. • Balance long-horizon research ambitions with near-term deliverables and scientific rigor. • Build, hire, mentor, and challenge a world-class team of senior ML researchers and computational scientists. • Foster a culture of deep thinking, honest evaluation, scientific taste, and intellectual courage. • Influence the broader field through external collaborations, publications, and a clear, opinionated point of view on the future of scientific AI. What We're Looking For Required: • Advanced degree (PhD strongly preferred) in machine learning, computational physics, chemistry, materials science, or a closely related field. • 7+ years of experience in AI/ML research, including demonstrated leadership of senior individual contributors. • Deep expertise in representation learning, scientific ML, or foundation models with relevance to physical or chemical systems. • Strong intuition for - or direct background in - physics, chemistry, or materials science and their governing constraints. • Proven ability to operate at the boundary between theory, systems, and real-world experimental feedback. • Demonstrated scientific judgment: comfort with irreversible prioritization calls under uncertainty, and the ability to communicate complex ideas clearly to diverse audiences. • English fluency required; additional languages are a plus. • Based in Berlin, Germany or willing to relocate. Nice to Have: • Experience working in or alongside autonomous laboratory / high-throughput experimentation environments. • Background at national labs, research institutes, or research-forward industry settings (e.g., materials, energy, or chemical sectors). • Track record of cross-disciplinary collaboration bridging ML and physical sciences. Location & Work Arrangement This is a full-time, on-site role based in Berlin, Germany. Candidates must be based in Berlin or willing to relocate. Visa sponsorship is not available for this position. Why This Role • Rare opportunity to define an entire research discipline at an early-stage company with a technically ambitious mission. • Work at the frontier of AI and physical science - where models must meet reality. • Join a team with deep roots in top-tier research, national laboratories, and leading industrial science organizations. • Shape the team, culture, and scientific direction from the ground up. Find Jobs in Germany on Arbeitnow
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